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NIPS
2007
15 years 4 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
MTA
2008
96views more  MTA 2008»
15 years 3 months ago
Virtual interpersonal touch: Haptic interaction and copresence in collaborative virtual environments
As digital communication becomes more commonplace and sensory rich, understanding the manner in which people interact with one another is crucial. In the current study, we examined...
Jeremy N. Bailenson, Nick Yee
DLOG
2003
15 years 4 months ago
Relationships with other Formalisms
In this chapter, we are concerned with the relationship between Description Logics and other formalisms, regardless of whether they were designed for knowledge representation issu...
Ulrike Sattler, Diego Calvanese, Ralf Molitor
101
Voted
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
16 years 4 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 3 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi