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JAR
2008
88views more  JAR 2008»
15 years 4 months ago
Using Theorem Proving to Verify Expectation and Variance for Discrete Random Variables
Statistical quantities, such as expectation (mean) and variance, play a vital role in the present age probabilistic analysis. In this paper, we present some formalization of expect...
Osman Hasan, Sofiène Tahar
DAM
2008
102views more  DAM 2008»
15 years 4 months ago
Formulas for approximating pseudo-Boolean random variables
We consider {0, 1}n as a sample space with a probability measure on it, thus making pseudo-Boolean functions into random variables. We then derive explicit formulas for approximat...
Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. ...
170
Voted
CVPR
2011
IEEE
15 years 1 months ago
Combining Randomization and Discrimination for Fine-Grained Image Categorization
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...
Bangpeng Yao, Aditya Khosla, Li Fei-Fei
KDID
2003
119views Database» more  KDID 2003»
15 years 6 months ago
Generalized Version Space Trees
We introduce generalized version space trees, a novel data structure that serves as a condensed representation in inductive databases for graph mining. Generalized version space tr...
Ulrich Rückert, Stefan Kramer
DCC
2006
IEEE
16 years 4 months ago
Compressed Data Structures: Dictionaries and Data-Aware Measures
Abstract. We propose measures for compressed data structures, in which space usage is measured in a data-aware manner. In particular, we consider the fundamental dictionary problem...
Ankur Gupta, Wing-Kai Hon, Rahul Shah, Jeffrey Sco...