Jorma Laaksonen

Jorma Laaksonen, V. Viitanierni, Jorma T. Laaksonen, 2005, 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT 2005).

Saliency Revisited: Analysis of Mouse Movements Versus Fixations

Jorma Laaksonen, Ali Borji, H. R. Tavakoli, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval

Jorma Laaksonen, Markus Koskela, M. Koskela, 2003, PRIS.

Video Summarization with SOMs

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2007 .

Image Classification by Histogram Features Created with Learning Vector Quantization

Jorma Laaksonen, Marcin Blachnik, Jorma T. Laaksonen, 2008, ICANN.

Dynamically expanding context as committee adaptation method in on-line recognition of handwritten Latin characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Comparison of Neural and Statistical Classifiers - Theory and Practice

Erkki Oja, Jorma Laaksonen, Petri Koistinen, 1996 .

Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features pdf

Jorma Laaksonen, Esa Rahtu, Ali Borji, 2016, Neurocomputing.

The Effect of Motion Blur and Signal Noise on Image Quality in Low Light Imaging

Jorma Laaksonen, Leena Lepistö, Iivari Kunttu, 2009, SCIA.

When is a Discrete Diffusion a Scale-Space?

Jorma Laaksonen, Ramunas Girdziusas, Jorma T. Laaksonen, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Automatic video search using semantic concepts

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2010 .

Convolutional Network Features for Scene Recognition

Jorma Laaksonen, Markus Koskela, M. Koskela, 2014, ACM Multimedia.

Probability Interpretation of Distributions on SOM Surfaces

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2003 .

Approximated Geodesic Updates with Principal Natural Gradients

Jorma Laaksonen, Zhirong Yang, 2007, 2007 International Joint Conference on Neural Networks.

Browsing an Electronic Mail-Order Catalogue with PicSOM Content-Based Image Retrieval System

Jorma Laaksonen, Ville Viitaniemi, Jorma T. Laaksonen, 2002 .

Content-Based Image Indexing and Retrieval: The PicSOM System

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

Detecting Hand-Head Occlusions in Sign Language Video

Jorma Laaksonen, Tommi Jantunen, Matti Karppa, 2013, SCIA.

Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2002, ICANN.

Towards gaze-based video annotation

Jorma Laaksonen, Mohamed Soliman, Hamed Rezazadegan Tavakoli, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Combining Holistic and Part-based Deep Representations for Computational Painting Categorization

Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, 2016, ICMR.

Semantic Concept Detection from News Videos with Self-Organizing Maps

Jorma Laaksonen, Markus Koskela, M. Koskela, 2006, AIAI.

VisualLabel: An Integrated Multimedia Content Management and Access Framework

Jorma Laaksonen, Moncef Gabbouj, Iftikhar Ahmad, 2017, European-Japanese Conference on Information Modelling and Knowledge Bases.

Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation

Jorma Laaksonen, Rakshith Shetty, Jorma T. Laaksonen, 2016, ACM Multimedia.

Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos

Jorma Laaksonen, Matti Karppa, Ville Viitaniemi, 2014, 2014 22nd International Conference on Pattern Recognition.

APPLICATION OF SELF-ORGANIZING MAPS AND AUTOMATIC IMAGE SEGMENTATION TO 101 OBJECT CATEGORIES DATABASE

Jorma Laaksonen, Markus Koskela, Ville Viitaniemi, 2005 .

Detecting changes in polarimetric SAR data with content-based image retrieval

Jorma Laaksonen, Matthieu Molinier, Yrjö Rauste, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2001, Pattern Analysis & Applications.

Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features

Jorma Laaksonen, Ville Viitaniemi, Jorma T. Laaksonen, 2007, Signal Process. Image Commun..

TRECVID 2015 Workshop

Rao Muhammad Anwer, Jorma Laaksonen, Markus Koskela, 2015 .

LVQ_PAK: The Learning Vector Quantization Program Package

Jorma Laaksonen, Teuvo Kohonen, Jari Kangas, 1996 .

The MeMAD Submission to the WMT18 Multimodal Translation Task

Jorma Laaksonen, Raphaël Troncy, Jörg Tiedemann, 2018, WMT.

Advances in visual concept detection: Ten years of TRECVID

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2015 .

Fixation Prediction in Videos Using Unsupervised Hierarchical Features

Jorma Laaksonen, H. R. Tavakoli, Hamed R. Tavakoli, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

PicSOM - A Framework for Content-Based Image Database Retrieval using Self-Organizing Maps

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999 .

Towards Reliable Automatic Multimodal Content Analysis

Jorma Laaksonen, Mikko Kurimo, Maija Hirvonen, 2015, VL@EMNLP.

Estimating head pose and state of facial elements for sign language video

Jorma Laaksonen, Ville Viitaniemi, Tommi Jantunen, 2014 .

Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 2001, International Journal on Document Analysis and Recognition.

Improving Automatic Video Retrieval with Semantic Concept Detection

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2009, SCIA.

Empirical Investigations on Benchmark Tasks for Automatic Image Annotation

Jorma Laaksonen, Ville Viitaniemi, Jorma T. Laaksonen, 2007, VISUAL.

Media Map: A Multilingual Document Map with a Design Interface

Jorma Laaksonen, Timo Honkela, Juhani Tenhunen, 2011, WSOM.

MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2002, VISUAL.

Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition

Jorma Laaksonen, Ville Viitaniemi, 2010, ICANN.

Inferring semantics from textual information in multimedia retrieval

Jorma Laaksonen, Timo Honkela, Mats Sjöberg, 2008, Neurocomputing.

Partial Relevance in Interactive Facial Image Retrieval

Jorma Laaksonen, Zhirong Yang, 2005, ICAPR.

Adaptive timeline interface to personal history data

Jorma Laaksonen, Markus Koskela, Samuel Kaski, 2013, ICMI '13.

Fundus Image Analysis Using Subspace Classifier and its Performance

Jorma Laaksonen, Nobuo Matsuda, Fumiaki Tajima, 2010 .

Indoor location recognition using fusion of SVM-based visual classifiers

Jorma Laaksonen, Markus Koskela, Ville Viitaniemi, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Image and Video Captioning with Augmented Neural Architectures

Jorma Laaksonen, H. R. Tavakoli, Rakshith Shetty, 2018, IEEE MultiMedia.

Adaptation of Prototype Sets in On-line Recognition of Isolated Handwritten Latin Characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 1999 .

Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments

Jorma Laaksonen, Pirkko Oittinen, Mats Sjöberg, 2014, IEEE Transactions on Multimedia.

Comparing computer vision analysis of signed language video with motion capture recordings

Jorma Laaksonen, Tommi Jantunen, Matti Karppa, 2012, LREC.

Using diversity of errors for selecting members of a committee classifier

Jorma Laaksonen, Matti Aksela, Jorma T. Laaksonen, 2006, Pattern Recognit..

Towards Instance Segmentation with Object Priority: Prominent Object Detection and Recognition

Jorma Laaksonen, H. R. Tavakoli, Hamed R. Tavakoli, 2017, 1704.07402.

Concept-based Video Search with the PicSOM Multimedia Retrieval System

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2010 .

Uni- and multimodal methods for single- and multi-label recognition

Jorma Laaksonen, Satoru Ishikawa, 2017, Multimedia Tools and Applications.

Evaluating Performance of Automatic Image Annotation: Example Case by Fusing Global Image Features

Jorma Laaksonen, Ville Viitaniemi, Jorma T. Laaksonen, 2007, 2007 International Workshop on Content-Based Multimedia Indexing.

Experiments on Selection of Codebooks for Local Image Feature Histograms

Jorma Laaksonen, Ville Viitaniemi, Jorma T. Laaksonen, 2008, VISUAL.

Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps

Jorma Laaksonen, Mats Sjöberg, Jorma T. Laaksonen, 2005, ICANN.

Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors

Jorma Laaksonen, Timo Honkela, Mats Sjöberg, 2006, ICANN.

Two-Stream Part-Based Deep Representation for Human Attribute Recognition

Fahad Shahbaz Khan, Rao Muhammad Anwer, Jorma Laaksonen, 2018, 2018 International Conference on Biometrics (ICB).

Use of Image Subset Features in Image Retrieval with Self-Organizing Maps

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2004, CIVR.

Content-Based Video Analysis and Access for Finnish Sign Language A Multidisciplinary Research Project

Jorma Laaksonen, Markus Koskela, Tommi Jantunen, 2008 .

Class distributions on SOM surfaces for feature extraction and object retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2004, Neural Networks.

Principal whitened gradient for information geometry

Jorma Laaksonen, Zhirong Yang, Jorma T. Laaksonen, 2008, Neural Networks.

A Self-Organizing Map Framework for Detection of Man-Made Structures and Changes in Satellite Imagery

Jorma Laaksonen, Matthieu Molinier, Tuomas Häme, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

The PicSOM Retrieval System: Description and Evaluations

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification pdf

Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, 2017, ArXiv.

Prominent Object Detection and Recognition: A Saliency-based Pipeline pdf

Jorma Laaksonen, Hamed Rezazadegan Tavakoli, 2017, ArXiv.

Local Subspace Classifier

Jorma Laaksonen, 1997, ICANN.

Controlling on-line adaptation of a prototype-based classifier for handwritten characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Head Pose Estimation for Sign Language Video

Jorma Laaksonen, Tommi Jantunen, Matti Karppa, 2013, SCIA.

Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2004, ICPR 2004.

Combining Local Feature Histograms of Different Granularities

Jorma Laaksonen, Ville Viitaniemi, 2009, SCIA.

Video captioning with recurrent networks based on frame- and video-level features and visual content classification pdf

Jorma Laaksonen, Rakshith Shetty, Jorma T. Laaksonen, 2015, ArXiv.

Comparison of Adaptive Strategies for On-Line Character Recognition

Erkki Oja, Jorma Laaksonen, Jari Kangas, 1998 .

Content-Based Browsing of Mail-Order Catalogue with PicSOM System

Jorma Laaksonen, Ville Viitaniemi, Jorma T. Laaksonen, 2003 .

Real-time large-scale visual concept detection with linear classifiers

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2013, ICONIP.

Error-Corrective Feature Extraction in Handwritten Digit Recognition

Erkki Oja, Jorma Laaksonen, 1997 .

Using MPEG-7 descriptors in image retrieval with self-organizing maps

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2002, Object recognition supported by user interaction for service robots.

Evaluating the Performance of Content-Based Image Retrieval Systems

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000, VISUAL.

On-line adaptation in recognition of handwritten alphanumeric characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

The 2nd Gesture and Speech in Interaction conference (GESPIN 2011)

Jorma Laaksonen, Markus Koskela, Tommi Jantunen, 2011 .

Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models

Jorma Laaksonen, H. R. Tavakoli, Hamed Rezazadegan Tavakoli, 2016, ACCV Workshops.

Speeding up on-line recognition of handwritten characters by pruning the prototype set

Erkki Oja, Jorma Laaksonen, Jari Kangas, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

SOM_PAK: The Self-Organizing Map Program Package

Jorma Laaksonen, Teuvo Kohonen, Jari Kangas, 1996 .

PicSOM Content-Based Information Retrieval System

Jorma Laaksonen, Alex Po Leung, Markus Koskela, 2009 .

Application of Adaptive Committee Classifiers in On-Line Character Recognition

Erkki Oja, Jorma Laaksonen, Jari Kangas, 2001, ICAPR.