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2020 – today
- 2023
[c73]Lei Pan, Yan Zhang, Yi Zhou, Heikki Huttunen
, Shuvra S. Bhattacharyya:
Multi-Objective Design Optimization for Image Classification Using Elastic Neural Networks. CISS 2023: 1-6- [c72]Jukka Peltomäki, Farid Alijani, Jussi Puura, Heikki Huttunen, Esa Rahtu, Joni-Kristian Kämäräinen:
LiDAR Place Recognition Evaluation with the Oxford Radar RobotCar Dataset Revised. SCIA (1) 2023: 3-16 - 2022
- [j23]Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen, Antti Roine:
Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach. BMC Medical Informatics Decis. Mak. 22(1): 134 (2022) - [c71]Farid Alijani, Jukka Peltomäki, Jussi Puura, Heikki Huttunen, Joni-Kristian Kämäräinen, Esa Rahtu:
Long-term Visual Place Recognition. ICPR 2022: 3422-3428 - [c70]Farid Alijani, Jukka Peltomäki, Jussi Puura, Heikki Huttunen, Joni-Kristian Kämäräinen, Esa Rahtu:
Evaluation of Long-term Deep Visual Place Recognition. VISIGRAPP (5: VISAPP) 2022: 437-447 - [c69]Farid Alijani, Jukka Peltomäki, Jussi Puura, Heikki Huttunen, Joni-Kristian Kämäräinen, Esa Rahtu:
Evaluation of RGB and LiDAR Combination for Robust Place Recognition. VISIGRAPP (5: VISAPP) 2022: 650-658 - 2021
- [j22]Xingyang Ni, Heikki Huttunen:
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification. J. Signal Process. Syst. 93(4): 357-368 (2021) - [c68]Bishwo Adhikari, Esa Rahtu, Heikki Huttunen:
Sample Selection for Efficient Image Annotation. EUVIP 2021: 1-6 - [c67]Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen:
Selective Probabilistic Classifier Based on Hypothesis Testing. EUVIP 2021: 1-6 - [c66]Xingyang Ni, Heikki Huttunen, Esa Rahtu:
On the Importance of Encrypting Deep Features. ICCVW 2021: 4125-4132 - [c65]Jukka Peltomäki, Farid Alijani, Jussi Puura, Heikki Huttunen, Esa Rahtu, Joni-Kristian Kämäräinen:
Evaluation of Long-term LiDAR Place Recognition. IROS 2021: 4487-4492 - [c64]Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen:
Towards a Real-Time Facial Analysis System. MMSP 2021: 1-6 - [c63]Bishwo Adhikari, Jukka Peltomäki, Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen:
Effect of Label Noise on Robustness of Deep Neural Network Object Detectors. SAFECOMP Workshops 2021: 239-250 - [i25]Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen:
Selective Probabilistic Classifier Based on Hypothesis Testing. CoRR abs/2105.03876 (2021) - [i24]Bishwo Adhikari, Esa Rahtu, Heikki Huttunen:
Sample selection for efficient image annotation. CoRR abs/2105.04678 (2021) - [i23]Yi Zhou, Heikki Huttunen, Tapio Elomaa:
using multiple losses for accurate facial age estimation. CoRR abs/2106.09393 (2021) - [i22]Xingyang Ni, Heikki Huttunen, Esa Rahtu:
On the Importance of Encrypting Deep Features. CoRR abs/2108.07147 (2021) - [i21]Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen:
Towards a Real-Time Facial Analysis System. CoRR abs/2109.10393 (2021) - 2020
- [j21]Han He, Xiaochen Chen, Adnan Mehmood, Leevi Raivio, Heikki Huttunen, Pasi Raumonen, Johanna Virkki:
ClothFace: A Batteryless RFID-Based Textile Platform for Handwriting Recognition. Sensors 20(17): 4878 (2020) - [c62]Jukka Yrjänäinen, Xingyang Ni, Bishwo Adhikari, Heikki Huttunen:
Privacy-Aware Edge Computing System For People Tracking. ICIP 2020: 2096-2100 - [c61]Bishwo Adhikari, Heikki Huttunen:
Iterative Bounding Box Annotation for Object Detection. ICPR 2020: 4040-4046 - [c60]Jukka Peltomäki, Xingyang Ni, Jussi Puura, Joni-Kristian Kämäräinen, Heikki Huttunen:
Loop-closure detection by LiDAR scan re-identification. ICPR 2020: 9107-9114 - [c59]Xingyang Ni, Liang Fang, Heikki Huttunen:
Adaptive L2 Regularization in Person Re-Identification. ICPR 2020: 9601-9607 - [c58]Francesco Lomio, Diego Martínez Baselga, Sergio Moreschini, Heikki Huttunen, Davide Taibi:
RARE: a labeled dataset for cloud-native memory anomalies. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 19-24 - [c57]Valentina Lenarduzzi, Francesco Lomio, Heikki Huttunen, Davide Taibi:
Are SonarQube Rules Inducing Bugs? SANER 2020: 501-511 - [i20]Xingyang Ni, Heikki Huttunen:
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification. CoRR abs/2006.16400 (2020) - [i19]Bishwo Adhikari, Heikki Huttunen:
Iterative Bounding Box Annotation for Object Detection. CoRR abs/2007.00961 (2020) - [i18]Xingyang Ni, Liang Fang, Heikki Huttunen:
AdaptiveReID: Adaptive L2 Regularization in Person Re-Identification. CoRR abs/2007.07875 (2020) - [i17]Leevi Raivio, Han He, Johanna Virkki, Heikki Huttunen:
Handwritten Character Recognition from Wearable Passive RFID. CoRR abs/2008.02543 (2020)
2010 – 2019
- 2019
- [j20]Lin Li, Carlo Sau, Tiziana Fanni, Jingui Li, Timo Viitanen, François Christophe, Francesca Palumbo, Luigi Raffo, Heikki Huttunen, Jarmo Takala, Shuvra S. Bhattacharyya:
An integrated hardware/software design methodology for signal processing systems. J. Syst. Archit. 93: 1-19 (2019) - [j19]Ke Chen, Kui Jia, Heikki Huttunen, Jiri Matas, Joni-Kristian Kämäräinen:
Cumulative attribute space regression for head pose estimation and color constancy. Pattern Recognit. 87: 29-37 (2019) - [j18]Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka:
Bayesian receiver operating characteristic metric for linear classifiers. Pattern Recognit. Lett. 128: 52-59 (2019) - [j17]Heikki Huttunen, Ke Chen, Zhaoxiang Zhang:
Guest Editorial: Special Issue on Machine Learning Implementations. J. Signal Process. Syst. 91(2): 115-116 (2019) - [c56]Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya, Heikki Huttunen:
Elastic Neural Networks for Classification. AICAS 2019: 251-255 - [c55]Mir Khan, Henri Lunnikivi, Heikki Huttunen, Jani Boutellier:
Comparing Optimization Methods of Neural Networks for Real-time Inference. EUSIPCO 2019: 1-5 - [c54]Jukka Peltomäki, Mengyang Chen, Heikki Huttunen:
Semantic segmentation with inexpensive simulated data. NORCAS 2019: 1-6 - [c53]Erjon Skenderi, Ekaterina Olshannikova, Thomas Olsson, Jukka Huhtamäki, Sami Koivunen, Peng Yao, Heikki Huttunen:
Investigation of Egocentric Social Structures for Diversity-Enhancing Followee Recommendations. UMAP (Adjunct Publication) 2019: 257-261 - [c52]Chia-Hung Lin, Yu-Chien Lin, Yue Bai, Wei-Ho Chung, Ta-Sung Lee, Heikki Huttunen:
DL-CFAR: A Novel CFAR Target Detection Method Based on Deep Learning. VTC Fall 2019: 1-6 - [i16]Oguzhan Gencoglu, Mark J. van Gils, Esin Guldogan, Chamin Morikawa, Mehmet Süzen, Mathias Gruber, Jussi Leinonen, Heikki Huttunen:
HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning. CoRR abs/1904.07633 (2019) - [i15]Francesco Lomio, Erjon Skenderi, Damoon Mohamadi, Jussi Collin, Reza Ghabcheloo, Heikki Huttunen:
Surface Type Classification for Autonomous Robot Indoor Navigation. CoRR abs/1905.00252 (2019) - [i14]Valentina Lenarduzzi, Francesco Lomio, Davide Taibi, Heikki Huttunen:
On the Fault Proneness of SonarQube Technical Debt Violations: A comparison of eight Machine Learning Techniques. CoRR abs/1907.00376 (2019) - [i13]Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka:
Bayesian Receiver Operating Characteristic Metric for Linear Classifiers. CoRR abs/1908.08771 (2019) - 2018
- [j16]Jani Boutellier, Jiahao Wu, Heikki Huttunen, Shuvra S. Bhattacharyya:
PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms. IEEE Trans. Signal Process. 66(3): 654-665 (2018) - [c51]Mir Khan, Heikki Huttunen, Jani Boutellier:
Binarized Convolutional Neural Networks for Efficient Inference on GPUs. EUSIPCO 2018: 682-686 - [c50]Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki Huttunen:
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision. EUSIPCO 2018: 1472-1476 - [c49]Bishwo Adhikari, Jukka Peltomäki, Jussi Puura, Heikki Huttunen:
Faster Bounding Box Annotation for Object Detection in Indoor Scenes. EUVIP 2018: 1-6 - [c48]Pedram Ghazi, Antti P. Happonen, Jani Boutellier, Heikki Huttunen:
Embedded Implementation of a Deep Learning Smile Detector. EUVIP 2018: 1-6 - [c47]Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen:
Classification of Building Information Model (BIM) Structures with Deep Learning. EUVIP 2018: 1-6 - [c46]Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen:
Acoustic Scene Classification: a Competition Review. MLSP 2018: 1-6 - [i12]Jani Boutellier, Jiahao Wu, Heikki Huttunen, Shuvra S. Bhattacharyya:
PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms. CoRR abs/1802.06625 (2018) - [i11]Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki Huttunen:
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision. CoRR abs/1807.00453 (2018) - [i10]Bishwo Adhikari, Jukka Peltomäki, Jussi Puura, Heikki Huttunen:
Faster Bounding Box Annotation for Object Detection in Indoor Scenes. CoRR abs/1807.03142 (2018) - [i9]Pedram Ghazi, Antti P. Happonen, Jani Boutellier, Heikki Huttunen:
Embedded Implementation of a Deep Learning Smile Detector. CoRR abs/1807.10570 (2018) - [i8]Mir Khan, Heikki Huttunen, Jani Boutellier:
Binarized Convolutional Neural Networks for Efficient Inference on GPUs. CoRR abs/1808.00209 (2018) - [i7]Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen:
Classification of Building Information Model (BIM) Structures with Deep Learning. CoRR abs/1808.00601 (2018) - [i6]Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen:
Acoustic Scene Classification: A Competition Review. CoRR abs/1808.02357 (2018) - [i5]Janne Tommola, Pedram Ghazi, Bishwo Adhikari, Heikki Huttunen:
Real Time System for Facial Analysis. CoRR abs/1809.05474 (2018) - [i4]Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya, Heikki Huttunen:
Elastic Neural Networks for Classification. CoRR abs/1810.00589 (2018) - 2017
- [j15]Tiziana Fanni, Lin Li, Timo Viitanen, Carlo Sau, Renjie Xie, Francesca Palumbo, Luigi Raffo, Heikki Huttunen, Jarmo Takala, Shuvra S. Bhattacharyya:
Hardware design methodology using lightweight dataflow and its integration with low power techniques. J. Syst. Archit. 78: 15-29 (2017) - [j14]Emre Çakir, Giambattista Parascandolo, Toni Heittola, Heikki Huttunen, Tuomas Virtanen:
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1291-1303 (2017) - [c45]Ville V. Lehtola, Heikki Huttunen, François Christophe, Tommi Mikkonen:
Evaluation of Visual Tracking Algorithms for Embedded Devices. SCIA (1) 2017: 88-97 - [i3]Emre Çakir, Giambattista Parascandolo, Toni Heittola, Heikki Huttunen, Tuomas Virtanen:
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection. CoRR abs/1702.06286 (2017) - 2016
- [j13]Jussi Tohka, Elaheh Moradi, Heikki Huttunen:
Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia. Neuroinformatics 14(3): 279-296 (2016) - [c44]Mizuki Murayama, Daisuke Oguro, Hisakazu Kikuchi, Heikki Huttunen, Yo-Sung Ho, Jaeho Shin:
Color-distribution similarity by information theoretic divergence for color images. APSIPA 2016: 1-4 - [c43]Lin Li, Tiziana Fanni, Timo Viitanen, Renjie Xie, Francesca Palumbo, Luigi Raffo, Heikki Huttunen, Jarmo Takala, Shuvra S. Bhattacharyya:
Low power design methodology for signal processing systems using lightweight dataflow techniques. DASIP 2016: 82-89 - [c42]Renjie Xie, Heikki Huttunen, Shuoxin Lin, Shuvra S. Bhattacharyya, Jarmo Takala:
Resource-constrained implementation and optimization of a deep neural network for vehicle classification. EUSIPCO 2016: 1862-1866 - [c41]Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen:
Recurrent neural networks for polyphonic sound event detection in real life recordings. ICASSP 2016: 6440-6444 - [c40]Andrei Cramariuc, Heikki Huttunen, Elena Simona Lohan:
Clustering benefits in mobile-centric WiFi positioning in multi-floor buildings. ICL-GNSS 2016: 1-6 - [c39]Kaisa Liimatainen, Pekka Ruusuvuori, Leena Latonen, Heikki Huttunen:
Supervised method for cell counting from bright field focus stacks. ISBI 2016: 391-394 - [c38]Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen:
Car type recognition with Deep Neural Networks. Intelligent Vehicles Symposium 2016: 1115-1120 - [i2]Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen:
Car Type Recognition with Deep Neural Networks. CoRR abs/1602.07125 (2016) - [i1]Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen:
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings. CoRR abs/1604.00861 (2016) - 2015
- [j12]Elaheh Moradi, Antonietta Pepe, Christian Gaser, Heikki Huttunen, Jussi Tohka:
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. NeuroImage 104: 398-412 (2015) - [j11]Heikki Huttunen, Jussi Tohka:
Model selection for linear classifiers using Bayesian error estimation. Pattern Recognit. 48(11): 3739-3748 (2015) - [c37]Emre Cakir, Toni Heittola, Heikki Huttunen, Tuomas Virtanen:
Multi-label vs. combined single-label sound event detection with deep neural networks. EUSIPCO 2015: 2551-2555 - [c36]Emre Cakir, Toni Heittola, Heikki Huttunen, Tuomas Virtanen:
Polyphonic sound event detection using multi label deep neural networks. IJCNN 2015: 1-7 - [c35]Tuomas Tikkanen, Pekka Ruusuvuori, Leena Latonen, Heikki Huttunen:
Training based cell detection from bright-field microscope images. ISPA 2015: 160-164 - [c34]Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen:
Computer Vision for Head Pose Estimation: Review of a Competition. SCIA 2015: 65-75 - 2014
- [c33]Oguzhan Gencoglu, Tuomas Virtanen, Heikki Huttunen:
Recognition of acoustic events using deep neural networks. EUSIPCO 2014: 506-510 - 2013
- [j10]Syeda Hassan, Muhammad Farhan, Rahul Mangayil, Heikki Huttunen, Tommi Aho:
Bioprocess data mining using regularized regression and random forests. BMC Syst. Biol. 7(S-1): S5 (2013) - [j9]Heikki Huttunen, Tapio Manninen, Jukka-Pekka Kauppi, Jussi Tohka:
Mind reading with regularized multinomial logistic regression. Mach. Vis. Appl. 24(6): 1311-1325 (2013) - [c32]Hisakazu Kikuchi, S. Kataoka, Shogo Muramatsu, Heikki Huttunen:
Color-tone similarity of digital images. ICIP 2013: 393-397 - [c31]Forrest Briggs, Yonghong Huang, Raviv Raich, Konstantinos Eftaxias, Zhong Lei, William Cukierski, Sarah Frey Hadley, Adam Hadley, Matthew Betts, Xiaoli Z. Fern, Jed Irvine, Lawrence Neal, Anil Thomas, Gábor Fodor, Grigorios Tsoumakas, Hong Wei Ng, Thi Ngoc Tho Nguyen, Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Aleksandr Diment, Tuomas Virtanen, Julien Marzat, Joseph Defretin, Dave Callender, Chris Hurlburt, Ken Larrey, Maxim Milakov:
The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. MLSP 2013: 1-8 - [c30]Heikki Huttunen, Tapio Manninen, Jussi Tohka:
Bayesian error estimation and model selection in sparse logistic regression. MLSP 2013: 1-6 - 2012
- [c29]Hisakazu Kikuchi, Heikki Huttunen, Junghyeun Hwang, Masahiro Yukawa, Shogo Muramatsu, Jaeho Shin:
Color-tone similarity on digital images. APSIPA 2012: 1-4 - [c28]Heikki Huttunen, Hannu Oinonen, Jyrki Selinummi, Pekka Ruusuvuori, Ville Voipio:
Polynomial pulp fiber modeling. EUSIPCO 2012: 2099-2103 - [c27]Pekka Ruusuvuori, Tapio Manninen, Heikki Huttunen:
Image segmentation using sparse logistic regression with spatial prior. EUSIPCO 2012: 2253-2257 - [c26]Heikki Huttunen, Timo Erkkilä, Pekka Ruusuvuori, Tapio Manninen:
The eighth annual MLSP competition: Second place team. MLSP 2012: 1-2 - 2011
- [j8]Jarno Mäkelä, Heikki Huttunen, Meenakshisundaram Kandhavelu, Olli Yli-Harja, Andre S. Ribeiro:
Automatic detection of changes in the dynamics of delayed stochastic gene networks and in vivo production of RNA molecules in Escherichia coli. Bioinform. 27(19): 2714-2720 (2011) - [c25]Jukka-Pekka Kauppi, Heikki Huttunen, Heikki Korkala, Iiro P. Jääskeläinen, Mikko Sams, Jussi Tohka:
Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection. ICANN (2) 2011: 189-196 - [c24]Tapio Manninen, Risto Rönkkä, Heikki Huttunen:
Point Pattern Matching for 2-D Point Sets with Regular Structure. SCIA 2011: 156-165 - [c23]Heikki Huttunen, Jari-Pekka Ryynänen, Heikki Forsvik, Ville Voipio, Hisakazu Kikuchi:
Kernel Fisher Discriminant and Elliptic Shape Model for Automatic Measurement of Allergic Reactions. SCIA 2011: 764-773 - 2010
- [c22]Hannu Oinonen, Heikki Forsvik, Pekka Ruusuvuori, Olli Yli-Harja, Ville Voipio, Heikki Huttunen:
Identity verification based on vessel matching from fundus images. ICIP 2010: 4089-4092
2000 – 2009
- 2008
- [c21]Pekka Ruusuvuori, Antti Lehmussola, Jyrki Selinummi, Tiina Rajala, Heikki Huttunen, Olli Yli-Harja:
Benchmark set of synthetic images for validating cell image analysis algorithms. EUSIPCO 2008: 1-5 - [c20]Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Kalle Rutanen, Risto Rönkkä, Ari Visa:
Object detection for dynamic adaptation of interconnections in inkjet printed electronics. ICIP 2008: 2364-2367 - 2007
- [j7]Antti Lehmussola, Pekka Ruusuvuori, Jyrki Selinummi, Heikki Huttunen, Olli Yli-Harja:
Computational Framework for Simulating Fluorescence Microscope Images With Cell Populations. IEEE Trans. Medical Imaging 26(7): 1010-1016 (2007) - 2006
- [c19]Jyrki Selinummi, Pekka Ruusuvuori, Antti Lehmussola, Heikki Huttunen, Olli Yli-Harja, Riitta Miettinen:
Three-Dimensional Digital Image Analysis of Immunostained Neurons in Thick Tissue Sections. EMBC 2006: 4783-4786 - [c18]Heikki Huttunen:
Skewness correction in automatic license plate recognition. Image Processing: Algorithms and Systems 2006: 130-138 - [c17]Vladislav Uzunov, Atanas P. Gotchev, Heikki Huttunen, Karen O. Egiazarian, Jaakko Astola:
Character recognition by best anisotropic local bases and neural networks. Image Processing: Algorithms and Systems 2006: 151-160 - [c16]Petri Hirvonen, Heikki Huttunen, Maija Lappi:
Estimating the distribution of particle dimensions from electron microscope images. Image Processing: Algorithms and Systems 2006: 248-256 - 2005
- [j6]Miika Ahdesmäki, Harri Lähdesmäki, Ronald K. Pearson, Heikki Huttunen, Olli Yli-Harja:
Robust detection of periodic time series measured from biological systems. BMC Bioinform. 6: 117 (2005) - 2003
- [j5]Harri Lähdesmäki, Heikki Huttunen, Tommi Aho, Marja-Leena Linne, Jari Niemi, Juha Kesseli, Ronald K. Pearson, Olli Yli-Harja:
Estimation and inversion of the effects of cell population asynchrony in gene expression time-series. Signal Process. 83(4): 835-858 (2003) - [c15]Heikki Huttunen, Pertti T. Koivisto, Antti Niemistö, Olli Yli-Harja:
Statistical characterization of detail preservation. Image Processing: Algorithms and Systems 2003: 66-77 - [c14]Ronald K. Pearson, Harri Lähdesmäki, Heikki Huttunen, Olli Yli-Harja:
Detecting Periodicity in Nonideal Datasets. SDM 2003: 274-278 - 2002
- [c13]Kalle Marjanen, Heimo Ihalainen, Heikki Huttunen, Olli Yli-Harja:
Local entropy estimation in particle velocity images using histogram deconvolution. Image Processing: Algorithms and Systems 2002: 429-439 - [c12]Karen O. Egiazarian, Radomir S. Stankovic, Jaakko Astola, Heikki Huttunen:
Using a spectral technique, genetic algorithms and decision diagrams for finding unconditional table tests. ISCAS (4) 2002: 528-531 - 2001
- [c11]Pertti Koivisto, Heikki Huttunen:
Design of weighted order statistic filters by training-based optimization. ISSPA 2001: 40-43 - 2000
- [c10]Heikki Huttunen, Charles Boncelet, Pauli Kuosmanen:
Using permutations to hide information. EUSIPCO 2000: 1-4
1990 – 1999
- 1999
- [c9]Vladimir V. Lukin, Vladimir P. Melnik, Victor I. Chemerovsky, Alexander A. Zelensky, Jaakko T. Astola, Pauli Kuosmanen, Heikki Huttunen:
Property analysis of noise-suppressing L-filters for speckle image processing. Electronic Imaging: Nonlinear Image Processing 1999 - [c8]Heikki Huttunen, Pertti Koivisto:
Training Based Optimization of Weighted Order Statistic Filters Under Breakdown Criteria. ICIP (4) 1999: 172-176 - [c7]Heikki Huttunen, Marius Tico, Corneliu Rusu, Pauli Kuosmanen:
Ordering methods for multivariate RCRS filters. NSIP 1999: 506-510 - [c6]Pertti Koivisto, Heikki Huttunen:
Complexity Aspects of Recursive and Nonrecursive Soft Morphological Filters. SIP 1999: 225-229 - 1998
- [c5]Heikki Huttunen, Pauli Kuosmanen:
RCRS Filters for Digital Image Sequences. NMBIA 1998: 71-76 - 1997
- [j4]Vladimir P. Melnik, Vladimir V. Lukin, Alexander A. Zelensky, Heikki Huttunen, Jaakko Astola:
Nonlinear locally adaptive and iterative algorithms of image restoration. J. Electronic Imaging 6(4): 439-452 (1997) - [c4]Jaakko Astola, Karen O. Egiazarian, Heikki Huttunen:
Wavelet packets and genetic algorithms. ICASSP 1997: 2117-2120 - 1996
- [j3]Pertti T. Koivisto, Heikki Huttunen, Pauli Kuosmanen:
Training-based optimization of soft morphological filters. J. Electronic Imaging 5(3): 300-322 (1996) - [j2]Pertti Koivisto, Pauli Kuosmanen, Heikki Huttunen, Jaakko Astola:
Comments on "Analysis of the properties of soft morphological filtering using threshold decomposition". IEEE Trans. Signal Process. 44(9): 2350 (1996) - [c3]Heikki Huttunen, Pauli Kuosmanen, Jaakko T. Astola:
Optimal RASF filtering. Electronic Imaging: Nonlinear Image Processing 1996: 0000 - [c2]Pertti T. Koivisto, Heikki Huttunen, Pauli Kuosmanen, Jaakko T. Astola:
Signal quantization and the optimization of digital filters. Electronic Imaging: Nonlinear Image Processing 1996: 0000 - 1995
- [j1]Pauli Kuosmanen, Pertti Koivisto, Heikki Huttunen, Jaakko Astola:
Shape preservation criteria and optimal soft morphological filtering. J. Math. Imaging Vis. 5(4): 319-335 (1995) - 1994
- [c1]Lasse Koskinen, Heikki Huttunen, Jaakko T. Astola:
Text enhancement method based on soft morphological filters. Document Recognition 1994: 243-253
Coauthor Index
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load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-08-05 20:17 CEST by the dblp team
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