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CVPR
1999
IEEE
14 years 7 months ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black
WWW
2005
ACM
14 years 6 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng
DCC
2011
IEEE
13 years 8 days ago
Accurate estimates of the data complexity and success probability for various cryptanalyses
Abstract Many attacks on encryption schemes rely on statistical considerations using plaintext/ciphertext pairs to find some information on the key. We provide here simple formula...
Céline Blondeau, Benoît Gérard...
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 5 months ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha
TSP
2010
12 years 12 months ago
On entropy rate for the complex domain and its application to i.i.d. sampling
We derive the entropy rate formula for a complex Gaussian random process by using a widely linear model. The resulting expression is general and applicable to both circular and non...
Wei Xiong, Hualiang Li, Tülay Adali, Yi-Ou Li...