Laakso, S.[Sami]
* PicSOM: A Framework for Content-Based Image Database Retrieval Using Self-Organizing Maps
* PicSOM: Content-Based Image Retrieval with Self-Organizing Maps
* Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval
Laaksonen, J.T.[Jorma T.]
* Adaptive combination of adaptive classifiers for handwritten character recognition
* Approximated Classification in Interactive Facial Image Retrieval
* Class-confidence critic combining
* comparison of techniques for automatic clustering of handwritten characters, A
* Comparison of Techniques for Content-based Image Retrieval
* Controlling On-line Adaptation of a Prototype-based Classifier for Handwritten Characters
* Density Function Interpretation of Subspace Cassification Methods
* Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps
* Empirical Investigations on Benchmark Tasks for Automatic Image Annotation
* Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval
* Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features
* Experiments on Selection of Codebooks for Local Image Feature Histograms
* Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters
* How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion Scale-Spaces
* Influence of erroneous learning samples on adaptation in on-line handwriting recognition
* Learning Subspace Classifiers and Error Corrective Feature Extraction
* Methods for adaptive combination of classifiers with application to recognition of handwritten characters
* Neural and Statistical Classifiers: Taxonomy and Two Case-Studies
* Neural Network and Statistical Perspectives of Classification
* Optimal Ratio of Lamé Moduli with Application to Motion of Jupiter Storms
* PicSOM: A Framework for Content-Based Image Database Retrieval Using Self-Organizing Maps
* PicSOM: Content-Based Image Retrieval with Self-Organizing Maps
* Regularized Neighborhood Component Analysis
* Rejection methods for an adaptive committee classifier
* Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval
* Speeding up on-line recognition of handwritten characters by pruning the prototype set
* Statistical Shape Features for Content-Based Image Retrieval
* Statistical Shape Features in Content-based Image Retrieval
* Task-Based User Evaluation of Content-Based Image Database Browsing Systems
* Techniques for Image Classification, Object Detection and Object Segmentation
* Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
* Using diversity of errors for selecting members of a committee classifier
* Using Image Segments in PicSOM CBIR System
* Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps
* Video Segmentation and Shot Boundary Detection Using Self-Organizing Maps
* When is a Discrete Diffusion a Scale-Space?
Includes: Laaksonen, J.T.[Jorma T.] Laaksonen, J.T.
36 for Laaksonen, J.T.
Laaksonen, M.[Mika]
* Adaptive skin color modeling using the skin locus for selecting training pixels
* Skin Detection in Video Under Changing Illumination Conditions
Laamanen, H.[Hannu]
* Application of Spectral Information to Investigate Historical Materials: Detection of Metameric Color Area in Icon Images
* Weighted compression of spectral color information
Laanaya, H.[Hicham]
* Evaluation for uncertain image classification and segmentation