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» A Spectral Algorithm for Learning Hidden Markov Models
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ICIP
2003
IEEE
14 years 9 months ago
Deformable face mapping for person identification
This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the f...
Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose
ICASSP
2011
IEEE
12 years 11 months ago
Destination-aware target tracking via syntactic signal processing
We consider the prediction of a target’s destination and simultaneously recover its filtered trajectory. Two novel models for trajectories with known destinations are presented...
Mustafa Fanaswala, Vikram Krishnamurthy, Langford ...
NPL
2000
95views more  NPL 2000»
13 years 7 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 2 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
CVPR
2005
IEEE
14 years 9 months ago
ALIP: The Automatic Linguistic Indexing of Pictures System
In this demonstration, we present the Automatic Linguistic Indexing of Pictures (ALIP) system. The system annotates images with linguistic terms, chosen among hundreds of such ter...
Jia Li, James Ze Wang