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TCS
2008
13 years 7 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
DATE
2008
IEEE
156views Hardware» more  DATE 2008»
14 years 2 months ago
Transparent Reconfigurable Acceleration for Heterogeneous Embedded Applications
Embedded systems are becoming increasingly complex. Besides the additional processing capabilities, they are characterized by high diversity of computational models coexisting in ...
Antonio Carlos Schneider Beck, Mateus B. Rutzig, G...
ICML
2008
IEEE
14 years 8 months ago
Deep learning via semi-supervised embedding
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...
Frédéric Ratle, Jason Weston, Ronan ...
ECML
2007
Springer
14 years 1 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
RTAS
2007
IEEE
14 years 1 months ago
Hijack: Taking Control of COTS Systems for Real-Time User-Level Services
This paper focuses on a technique to empower commercial-off-the-shelf (COTS) systems with an execution environment, and corresponding services, to support realtime and embedded ap...
Gabriel Parmer, Richard West