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CVPR
2006
IEEE
16 years 8 months ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun
EELC
2006
113views Languages» more  EELC 2006»
15 years 10 months ago
A Hybrid Model for Learning Word-Meaning Mappings
Abstract. In this paper we introduce a model for the simulation of language evolution, which is incorporated in the New Ties project. The New Ties project aims at evolving a cultur...
Federico Divina, Paul Vogt
CVPR
2010
IEEE
16 years 2 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
SIGCSE
2006
ACM
201views Education» more  SIGCSE 2006»
16 years 10 days ago
Everything I needed to know about teaching I learned in kindergarten: bringing elementary education techniques to undergraduate
By expanding the teaching styles used in computer science classrooms, we can expand the audience of students that enjoy and excel in technology. Rather than focusing on major curr...
Shannon Pollard, Robert C. Duvall
ICASSP
2007
IEEE
16 years 22 days ago
Wavelet Footprints and Sparse Bayesian Learning for DNA Copy Number Change Analysis
Alterations in the number of DNA copies are very common in tumor cells and may have a very important role in cancer development and progression. New array platforms provide means ...
Roger Pique-Regi, En-Shuo Tsau, Antonio Ortega, Ro...