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IBPRIA
2009
Springer
15 years 7 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
DATE
2003
IEEE
85views Hardware» more  DATE 2003»
15 years 8 months ago
Set Manipulation with Boolean Functional Vectors for Symbolic Reachability Analysis
Symbolic techniques usually use characteristic functions for representing sets of states. Boolean functional vectors provide an alternate set representation which is suitable for ...
Amit Goel, Randal E. Bryant
AAECC
2007
Springer
111views Algorithms» more  AAECC 2007»
15 years 3 months ago
When cache blocking of sparse matrix vector multiply works and why
Abstract. We present new performance models and a new, more compact data structure for cache blocking when applied to the sparse matrixvector multiply (SpM×V) operation, y ← y +...
Rajesh Nishtala, Richard W. Vuduc, James Demmel, K...
DATE
2010
IEEE
121views Hardware» more  DATE 2010»
15 years 8 months ago
Properties of and improvements to time-domain dynamic thermal analysis algorithms
—Temperature has a strong influence on integrated circuit (IC) performance, power consumption, and reliability. However, accurate thermal analysis can impose high computation co...
Xi Chen, Robert P. Dick, Li Shang
AVSS
2006
IEEE
15 years 9 months ago
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
Chris McCool, Jamie Cook, Vinod Chandran, Sridha S...