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ICCV
2003
IEEE
14 years 9 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
ICASSP
2007
IEEE
14 years 1 months ago
Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
Shiva Sundaram, Shrikanth Narayanan
ACL
2006
13 years 9 months ago
Aligning Features with Sense Distinction Dimensions
In this paper we present word sense disambiguation (WSD) experiments on ten highly polysemous verbs in Chinese, where significant performance improvements are achieved using rich ...
Nianwen Xue, Jinying Chen, Martha Palmer
ICCAD
2000
IEEE
109views Hardware» more  ICCAD 2000»
14 years 6 hour ago
General Models for Optimum Arbitrary-Dimension FPGA Switch Box Designs
–An FPGA switch box is said to be hyper-universal if it is routable for all possible surrounding multi-pin net topologies satisfying the routing resource constraints. It is desir...
Hongbing Fan, Jiping Liu, Yu-Liang Wu
DCC
2008
IEEE
14 years 7 months ago
On vector space partitions and uniformly resolvable designs
Let Vn(q) denote a vector space of dimension n over the field with q elements. A set P of subspaces of Vn(q) is a partition of Vn(q) if every nonzero vector in Vn(q) is contained ...
Andrew Blinco, Saad El-Zanati, G. F. Seelinger, P....