CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Canonical distributed quantization schemes do not scale to large sensor networks due to the exponential decoder storage complexity that they entail. Prior efforts to tackle this i...
SADM
2010
13 years 6 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
JMLR
2010
13 years 6 months ago
2010
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
TKDE
2010
13 years 9 months ago
2010
This paper proposes a new problem, called superseding nearest neighbor search, on uncertain spatial databases, where each object is described by a multidimensional probability den...
VLDB
2002
ACM
13 years 11 months ago
2002
ACM
A continuous nearest neighbor query retrieves the nearest neighbor (NN) of every point on a line segment (e.g., "find all my nearest gas stations during my route from point s...
PRL
2002
13 years 11 months ago
2002
In this paper, a classification task on dissimilarity representations is considered. A traditional way to discriminate between objects represented by dissimilarities is the neares...
TROB
2008
13 years 11 months ago
2008
Abstract-- Stability analysis of decentralized control mechanisms for networked, coordinating systems has generally focused on specific controller implementations, such as nearest ...
PAMI
2008
13 years 11 months ago
2008
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...