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» Application of Level Set Methods in Computer Vision
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ADBIS
2009
Springer
162views Database» more  ADBIS 2009»
15 years 10 months ago
Efficient Set Similarity Joins Using Min-prefixes
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
Leonardo Ribeiro, Theo Härder
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
15 years 11 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
ICPR
2004
IEEE
16 years 7 months ago
A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition
Important factors affecting the efficiency and performance of the nearest neighbor classifier (NNC) are space, classification time requirements and for high dimensional data, due ...
M. Narasimha Murty, P. Viswanath, Shalabh Bhatnaga...
OSDI
2002
ACM
16 years 6 months ago
Vertigo: Automatic Performance-Setting for Linux
Combining high performance with low power consumption is becoming one of the primary objectives of processor designs. Instead of relying just on sleep mode for conserving power, a...
Krisztián Flautner, Trevor N. Mudge
GLVLSI
2003
IEEE
202views VLSI» more  GLVLSI 2003»
15 years 11 months ago
System level design of real time face recognition architecture based on composite PCA
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Rajkiran Gottumukkal, Vijayan K. Asari