Markus Koskela

发表

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

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

Self-Organizing Maps of Web Link Information

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

Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval

Markus Koskela, Petri Luukkonen, Patrik Floréen, 2016 .

Self-Organizing Maps for Content-Based Image Database Retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999 .

Exploiting Temporal and Inter-concept Co-occurrence Structure to Detect High-Level Features in Broadcast Videos

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2008, 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services.

PicSOM Content-Based Image Retrieval System - Comparison of Techniques

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2001 .

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

Proactive Information Retrieval by Capturing Search Intent from Primary Task Context

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

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

3rd Workshop on the Representation and Processing of Sign Languages at 6th Language Resources and Evaluation Conference (LREC 2008)

Markus Koskela, Tommi Jantunen, Antti Raike, 2008 .

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

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

Content-Based Image Retrvieval using Self-Organizing Maps

Jorma Laaksonen, Markus Koskela, E. Oja, 1999 .

PicSOM Experiments in ImageCLEF RobotVision

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

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

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

SELF-ORGANIZING IMAGE RETRIEVAL WITH MPEG-7 DESCRIPTORS

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2001 .

Sequence Alignment for RGB-D and Motion Capture Skeletons

Markus Koskela, Xi Chen, 2013, ICIAR.

PicSOM Experiments in TRECVID 2018

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

Interactive image retrieval using self-organizing maps

Markus Koskela, M. Koskela, 2003 .

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.

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 .

Image Theft Detection with Self-Organising Maps

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

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

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

Best of 18th Scandinavian Conference On Image Analysis 2013

Markus Koskela, Joni-Kristian Kämäräinen, 2014, Pattern Recognit. Lett..

Content-Based Image Retrieval Using Self-Organizing Maps

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

Emergence of Semantic Concepts in Visual Databases

Jorma Laaksonen, Markus Koskela, Ville Viitaniemi, 2005 .

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

Jorma Laaksonen, Markus Koskela, Tommi Jantunen, 2010 .

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

Erkki Oja, Jorma Laaksonen, Mikko Kurimo, 2013 .

An empirical study of inter-concept similarities in multimedia ontologies

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

The 2005 PASCAL Visual Object Classes Challenge

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

Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations

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

An augmented reality interface to contextual information

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

LSTM-Based Predictions for Proactive Information Retrieval pdf

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

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

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

Application of tree structured self-organizing maps in content-based image retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999 .

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2003 .

Semantic Annotation of Image Groups with Self-organizing Maps

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

Online RGB-D gesture recognition with extreme learning machines

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

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).

Rushes summarization with self-organizing maps

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

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

Jorma Laaksonen, Markus Koskela, Ville Viitaniemi, 2008 .

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 .

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 .

Content-Based Image Indexing and Retrieval: The PicSOM System

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

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

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

Semantic Concept Detection from News Videos with Self-Organizing Maps

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

Mobile Visual Search from Dynamic Image Databases

Markus Koskela, Xi Chen, 2011, SCIA.

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

Jorma Laaksonen, Markus Koskela, Ville Viitaniemi, 2005 .

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

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

Proceedings of the 3rd Workshop on the Representation and Processing of Sign Languages. 6th International Conference on Language Resources and Evaluation, LREC 2008, Marrakech

Markus Koskela, Tommi Jantunen, Antti Raike, 2008 .

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

Jorma Laaksonen, Markus Koskela, He Zhang, 2008 .

TRECVID 2015 Workshop

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

Content-Based Image Retrieval with Self-Organizing Maps

Markus Koskela, M. Koskela, 1999 .

Advances in visual concept detection: Ten years of TRECVID

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2015 .

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999 .

Improving Automatic Video Retrieval with Semantic Concept Detection

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

Method for visualisation and analysis of hand and head movements in sign language video

Markus Koskela, Tommi Jantunen, Matti Karppa, 2011 .

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

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

Image based information access for mobile phones

Markus Koskela, Xi Chen, Jouko Hyväkkä, 2010, 2010 International Workshop on Content Based Multimedia Indexing (CBMI).

Adaptive timeline interface to personal history data

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

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.

Evaluation of a Video Annotation Tool Based on the LSCOM Ontology

Alan F. Smeaton, Markus Koskela, Emilie Garnaud, 2006, SAMT.

Clustering-Based Analysis of Semantic Concept Models for Video Shots

Alan F. Smeaton, Markus Koskela, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Skeleton-based action recognition with extreme learning machines

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

Image Analysis

Markus Koskela, Joni-Kristian Kämäräinen, Ron Dror, 2013, Lecture Notes in Computer Science.

Concept-based Video Search with the PicSOM Multimedia Retrieval System

Jorma Laaksonen, Markus Koskela, Mats Sjöberg, 2010 .

Digital Me: Controlling and Making Sense of My Digital Footprint

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

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.

The PicSOM Retrieval System: Description and Evaluations

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

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.

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.

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.

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

Jorma Laaksonen, Markus Koskela, Tommi Jantunen, 2011 .

PicSOM Content-Based Information Retrieval System

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

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

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