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NIPS
2003
15 years 5 months ago
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
109
Voted
AIPS
2000
15 years 4 months ago
Heuristics for Constraint-Directed Scheduling with Inventory
Despite the importance of the management of inventory in industrial scheduling applications, there has been little research that has addressed reasoning about inventory directly a...
J. Christopher Beck
144
Voted
BMVC
2000
15 years 4 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
151
Voted
SODA
2000
ACM
85views Algorithms» more  SODA 2000»
15 years 4 months ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan
126
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Robust critical data recovery for MPEG-4 AAC encoded bitstreams
This paper presents a bandwidth-efficient method for improved decoding of critical data generated by the MPEG-4 AAC audio coder when encoded bitstreams are transmitted over noisy...
Ruijing Hu, Xucen Huang, Michel Kieffer, Olivier D...