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119
Voted
CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 4 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
101
Voted
TIT
2008
86views more  TIT 2008»
15 years 3 months ago
A One-to-One Code and Its Anti-Redundancy
One-to-one codes are "one shot" codes that assign a distinct codeword to source symbols and are not necessarily prefix codes (more generally, uniquely decodable). For ex...
Wojciech Szpankowski
HICSS
2003
IEEE
106views Biometrics» more  HICSS 2003»
15 years 9 months ago
An Alternative View of Knowledge Discovery
Inductive representation of conditional knowledge means to complete knowledge appropriately and can be looked upon as an instance of quite a general representation problem. The cr...
Christoph Beierle, Gabriele Kern-Isberner
123
Voted
ICDM
2002
IEEE
130views Data Mining» more  ICDM 2002»
15 years 9 months ago
Unsupervised Segmentation of Categorical Time Series into Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
Paul R. Cohen, Brent Heeringa, Niall M. Adams
CVPR
1997
IEEE
15 years 8 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford