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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 4 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
ICIP
2008
IEEE
14 years 11 months ago
Coding-gain-based complexity control for H.264 video encoder
The allowable computational complexity of video encoding is limited in a power-constrained system. Different video frames are associated with different motions and contexts, and s...
Ming-Chen Chien, Zong-Yi Chen, Pao-Chi Chang
ICML
1998
IEEE
14 years 11 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
ICDT
2009
ACM
119views Database» more  ICDT 2009»
14 years 10 months ago
Analysis of sampling techniques for association rule mining
In this paper, we present a comprehensive theoretical analysis of the sampling technique for the association rule mining problem. Most of the previous works have concentrated only...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Yogi...
PODS
2009
ACM
113views Database» more  PODS 2009»
14 years 10 months ago
Relative information completeness
The paper investigates the question of whether a partially closed database has complete information to answer a query. In practice an enterprise often maintains master data Dm, a ...
Wenfei Fan, Floris Geerts