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NIPS
2004
15 years 7 months ago
Multiple Relational Embedding
We describe a way of using multiple different types of similarity relationship to learn a low-dimensional embedding of a dataset. Our method chooses different, possibly overlappin...
Roland Memisevic, Geoffrey E. Hinton
WEBI
2010
Springer
15 years 3 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
WCNC
2008
IEEE
16 years 12 days ago
A Transcoding-Free Multiple Description Coder for Voice over Mobile Ad-Hoc Networks
— We propose a new multiple description (MD) coder design based on the Adaptive Multi-Rate Wideband (AMRWB) coder that can support transcoding-free communication between an ad-ho...
Jagadeesh Balam, Jerry D. Gibson
MOBICOM
2003
ACM
15 years 11 months ago
Manycast: exploring the space between anycast and multicast in ad hoc networks
The characteristics of ad hoc networks naturally encourage the deployment of distributed services. Although current networks implement group communication methods, they do not sup...
Casey Carter, Seung Yi, Prashant Ratanchandani, Ro...
ICDAR
2003
IEEE
15 years 11 months ago
A Multiclass Classification Method Based on Multiple Pairwise Classifiers
In this paper, a new method of composing a multiclass classifier using pairwise classifiers is proposed. A “Resemblance Model” is exploited to calculate a posteriori probabili...
Tomoyuki Hamamura, Hiroyuki Mizutani, Bunpei Irie