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NCI
2004
142views Neural Networks» more  NCI 2004»
15 years 1 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung
SACRYPT
2009
Springer
176views Cryptology» more  SACRYPT 2009»
15 years 6 months ago
Optimization Strategies for Hardware-Based Cofactorization
Abstract. We use the specific structure of the inputs to the cofactorization step in the general number field sieve (GNFS) in order to optimize the runtime for the cofactorizatio...
Daniel Loebenberger, Jens Putzka
PR
2010
156views more  PR 2010»
14 years 10 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
ICCV
2003
IEEE
16 years 1 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
CODES
2006
IEEE
15 years 5 months ago
Fuzzy decision making in embedded system design
The use of Application Specific Instruction-set Processors (ASIP) is a solution to the problem of increasing complexity in embedded systems design. One of the major challenges in...
Alessandro G. Di Nuovo, Maurizio Palesi, Davide Pa...