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» Objective reduction using a feature selection technique
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IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
15 years 10 months ago
Multi-dimensional Histograms with Tight Bounds for the Error
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...
Linas Baltrunas, Arturas Mazeika, Michael H. B&oum...
CVPR
2008
IEEE
16 years 6 months ago
Unifying discriminative visual codebook generation with classifier training for object category recognition
The idea of representing images using a bag of visual words is currently popular in object category recognition. Since this representation is typically constructed using unsupervi...
Liu Yang, Rong Jin, Rahul Sukthankar, Fréd&...
WSOM
2009
Springer
15 years 8 months ago
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...
Mats Sjöberg, Jorma Laaksonen
CVPR
2003
IEEE
16 years 6 months ago
Optimal Segmentation of Dynamic Scenes from Two Perspective Views
We present a novel algorithm for optimally segmenting dynamic scenes containing multiple rigidly moving objects. We cast the motion segmentation problem as a constrained nonlinear...
René Vidal, Shankar Sastry
PAMI
2000
113views more  PAMI 2000»
15 years 4 months ago
Hierarchical Discriminant Regression
This paper presents a new technique which incrementally builds a hierarchical discriminant regression (IHDR) tree for generation of motion based robot reactions. The robot learned...
Wey-Shiuan Hwang, Juyang Weng