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ICASSP
2009
IEEE
14 years 3 months ago
Connecting spectral and spring methods for manifold learning
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...
Shannon M. Hughes, Peter J. Ramadge
STOC
2004
ACM
129views Algorithms» more  STOC 2004»
14 years 8 months ago
Sorting and searching in the presence of memory faults (without redundancy)
We investigate the design of algorithms resilient to memory faults, i.e., algorithms that, despite the corruption of some memory values during their execution, are able to produce...
Irene Finocchi, Giuseppe F. Italiano
SIAMCOMP
2000
109views more  SIAMCOMP 2000»
13 years 8 months ago
Dual-Bounded Generating Problems: Partial and Multiple Transversals of a Hypergraph
Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...
Endre Boros, Vladimir Gurvich, Leonid Khachiyan, K...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 2 months ago
A hybrid evolutionary programming algorithm for spread spectrum radar polyphase codes design
This paper presents a hybrid evolutionary programming algorithm to solve the spread spectrum radar polyphase code design problem. The proposed algorithm uses an Evolutionary Progr...
Ángel M. Pérez-Bellido, Sancho Salce...
SIBGRAPI
2008
IEEE
14 years 2 months ago
A New Training Algorithm for Pattern Recognition Technique Based on Straight Line Segments
Recently, a new Pattern Recognition technique based on straight line segments (SLSs) was presented. The key issue in this new technique is to find a function based on distances b...
João Henrique Burckas Ribeiro, Ronaldo Fumi...