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CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 19 days 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
71
Voted
TIT
2008
86views more  TIT 2008»
15 years 13 days 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
110
Voted
HICSS
2003
IEEE
106views Biometrics» more  HICSS 2003»
15 years 5 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
92
Voted
ICDM
2002
IEEE
130views Data Mining» more  ICDM 2002»
15 years 5 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
111
Voted
CVPR
1997
IEEE
15 years 4 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