M. Koskela

发表

The 2005 PASCAL Visual Object Classes Challenge

Cordelia Schmid, Jorma Laaksonen, Luc Van Gool, 2005, MLCW.

Digital Me: Controlling and Making Sense of My Digital Footprint

Markus Koskela, Mats Sjöberg, Jaakko Peltonen, 2016, Symbiotic.

PicSOM-self-organizing image retrieval with MPEG-7 content descriptors

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2002, IEEE Trans. Neural Networks.

COMPARISON OF TECHNIQUES FOR CONTENT-BASED IMAGE RETRIEVAL

E. Oja, M. Koskela, Jorma T. Laaksonen, 2001 .

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

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

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999 .

Online RGB-D gesture recognition with extreme learning machines

Markus Koskela, Xi Chen, Xi Chen, 2013, ICMI '13.

An empirical study of inter-concept similarities in multimedia ontologies

Alan F. Smeaton, Markus Koskela, A. Smeaton, 2007, CIVR '07.

Report on Forms of Enriched Relevance Feedback.Deliverable D1.1 of FP7 Project nº 216529 PinView

M. Koskela, Jorma T. Laaksonen, P. H. Zhang, 2008 .

Content-based information retrieval and analysis

Ville T. Turunen, E. Oja, M. Koskela, 2008 .

Report on Forms of Enriched Relevance Feedback.Deliverable D1.1 of FP7 Project nº 216529 PinView

Jorma Laaksonen, Markus Koskela, He Zhang, 2008 .

Chapter 7 Content-based information retrieval and analysis

E. Oja, M. Koskela, Jorma T. Laaksonen, 2008 .

TRECVID 2013 Workshop, Gaithersburg, USA, November 20-22, 2013

Erkki Oja, Jorma Laaksonen, Mikko Kurimo, 2013 .

PicSOM Content-Based Image Retrieval System - Comparison of Techniques

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2001 .

Content-Based Image Indexing and Retrieval: The PicSOM System

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

Content-Based Image Retrievalusing Self-Organizing

M. Koskela, MapsJorma Laaksonen, 1999 .

Ubiquitous Contextual Information Access with Proactive Retrieval and Augmentation

Jorma Laaksonen, Mikko Kurimo, Markus Koskela, 2009 .

Specification of information interfaces in PinView : deliverable D8.1 of FP7 project nº 216529 PinView

Jorma Laaksonen, Markus Koskela, M. Koskela, 2008 .

Class distributions on SOM surfaces for feature extraction and object retrieval

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

Interactive image retrieval using self-organizing maps

Markus Koskela, M. Koskela, 2003 .

An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM

Mika Rummukainen, Markus Koskela, M. Koskela, 2003, CIVR.

Towards Automated Visualization and Analysis of Signed Language Motion: Method and Linguistic Issues

Jorma Laaksonen, Markus Koskela, Tommi Jantunen, 2010 .

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

Jorma Laaksonen, Markus Koskela, Tommi Jantunen, 2008 .

PicSOM Content-Based Information Retrieval System

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

An augmented reality interface to contextual information

Jorma Laaksonen, Mikko Kurimo, Markus Koskela, 2011, Virtual Reality.

Contextual information access with Augmented Reality

S. Kaski, T. Jarvenpaa, M. Billinghurst, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Concept-based Video Search with the PicSOM Multimedia Retrieval System

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2010 .

PicSOM Experiments in TRECVID 2010 Workshop draft

M. Koskela, Ville Viitaniemi, Mats Sjöberg, 2009 .

LSTM-Based Predictions for Proactive Information Retrieval pdf

Markus Koskela, Petri Luukkonen, Patrik Floréen, 2016, SIGIR 2016.

Proactive Information Retrieval by Capturing Search Intent from Primary Task Context

Markus Koskela, Mats Sjöberg, Tuukka Ruotsalo, 2018, ACM Trans. Interact. Intell. Syst..

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning

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

Image Theft Detection with Self-Organising Maps

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

Probability Interpretation of Distributions on SOM Surfaces

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2003 .

PicSOM - content-based image retrieval with self-organizing maps

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000, Pattern Recognit. Lett..

Analyzing Low-Level Visual Features Using Content-Based Image Retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

The PicSOM Retrieval System: Description and Evaluations

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

PicSOM: self-organizing maps for content-based image retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Content-Based Image Retrieval Using Self-Organizing Maps

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999, VISUAL.

Content-Based Image Retrieval with Self-Organizing Maps

Markus Koskela, M. Koskela, 1999 .

Self-Organizing Maps for Content-Based Image Database Retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999 .

Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations

Jorma Laaksonen, Alan F. Smeaton, Markus Koskela, 2007, IEEE Transactions on Multimedia.

The 2005 PASCAL Visual Object Classes Challenge

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2005, MLCW.

Large-scale visual concept detection with explicit kernel maps and power mean SVM

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2013, ICMR.

Advances in visual concept detection: Ten years of TRECVID

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2015 .

Convolutional Network Features for Scene Recognition

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

The Pascal Visual Object Classes Challenge 2006 ( VOC 2006 ) Results

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2006 .

Skeleton-based action recognition with extreme learning machines

Markus Koskela, Xi Chen, Xi Chen, 2015, Neurocomputing.

Classification of RGB-D and Motion Capture Sequences Using Extreme Learning Machine

Markus Koskela, Xi Chen, Xi Chen, 2013, SCIA.

Using Appearance-Based Hand Features for Dynamic RGB-D Gesture Recognition

Markus Koskela, Xi Chen, Xi Chen, 2014, 2014 22nd International Conference on Pattern Recognition.

The 2005 PASCAL Visual Object Classes Challenge

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2005, MLCW.

PicSOM-self-organizing image retrieval with MPEG-7 content descriptors

E. Oja, M. Koskela, Jorma T. Laaksonen, 2002, IEEE Trans. Neural Networks.

PicSOM Experiments in TRECVID 2018

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2015, TRECVID.

PicSOM Experiments in ImageCLEF RobotVision

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2010, ICPR Contests.

Improving Automatic Video Retrieval with Semantic Concept Detection

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

Rushes summarization with self-organizing maps

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2007, TVS '07.

Semantic Concept Detection from News Videos with Self-Organizing Maps

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

Semantic Annotation of Image Groups with Self-organizing Maps

Jorma Laaksonen, Markus Koskela, M. Koskela, 2005, CIVR.

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

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

Task-Based User Evaluation of Content-Based Image Database Browsing Systems

Erkki Oja, Timo Ojala, Jorma Laaksonen, 2004, CIVR.

Automatic video search using semantic concepts

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2010 .

Improving content-based target and change detection in ALOS PALSAR images with efficient feature selection

Jorma Laaksonen, Markus Koskela, Ville Viitaniemi, 2008 .

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

Jorma Laaksonen, Markus Koskela, Ville Viitaniemi, 2005 .

Emergence of Semantic Concepts in Visual Databases

Jorma Laaksonen, Markus Koskela, Ville Viitaniemi, 2005 .

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

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

Inter-Query Relevance Learning in PicSOM for Content-Based Image Retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2003 .

Self-Organizing Maps of Web Link Information

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2001, WSOM.