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ALT
2007
Springer
15 years 6 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
CVPR
2010
IEEE
15 years 6 months ago
Single Image Depth Estimation From Predicted Semantic Labels
We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearanc...
Beyang Liu, Stephen Gould, Daphne Koller
CVPR
2010
IEEE
15 years 5 months ago
Parallel Graph-cuts by Adaptive Bottom-up Merging
Graph-cuts optimization is prevalent in vision and graphics problems. It is thus of great practical importance to parallelize the graph-cuts optimization using today’s ubiquitou...
Jiangyu Liu, Jian Sun
TACAS
2010
Springer
160views Algorithms» more  TACAS 2010»
15 years 4 months ago
Optimal Tableau Algorithms for Coalgebraic Logics
Deciding whether a modal formula is satisfiable with respect to a given set of (global) assumptions is a question of fundamental importance in applications of logic in computer sc...
Rajeev Goré, Clemens Kupke, Dirk Pattinson
DSN
2009
IEEE
15 years 4 months ago
System log pre-processing to improve failure prediction
Log preprocessing, a process applied on the raw log before applying a predictive method, is of paramount importance to failure prediction and diagnosis. While existing filtering ...
Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Gei...