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JMLR
2010
143views more  JMLR 2010»
14 years 12 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
ECCV
2004
Springer
16 years 7 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
16 years 2 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
FM
2009
Springer
124views Formal Methods» more  FM 2009»
15 years 11 months ago
An Incremental Approach to Scope-Bounded Checking Using a Lightweight Formal Method
We present a novel approach to optimize scope-bounded checking programs using a relational constraint solver. Given a program and its correctness specification, the traditional app...
Danhua Shao, Sarfraz Khurshid, Dewayne E. Perry
IDEAS
2008
IEEE
114views Database» more  IDEAS 2008»
15 years 11 months ago
Incremental view-based analysis of stock market data streams
In this paper we show the usefulness and feasibility of applying conventional SQL queries for analyzing a wide spectrum of data streams. As application area we have chosen the ana...
Andreas Behrend, Christian Dorau, Rainer Manthey, ...