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AAAI
2006
13 years 8 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
WSCG
2004
143views more  WSCG 2004»
13 years 8 months ago
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces
In this paper we present a new technique for rendering very large datasets representing point-sampled surfaces. Rendering efficiency is considerably improved by using stochastic s...
Sushil Bhakar, Liang Luo, Sudhir P. Mudur
DEXA
2010
Springer
213views Database» more  DEXA 2010»
13 years 8 months ago
Efficient K-Nearest Neighbor Search in Time-Dependent Spatial Networks
The class of k Nearest Neighbor (kNN) queries in spatial networks has been widely studied in the literature. All existing approaches for kNN search in spatial networks assume that ...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
MM
2010
ACM
132views Multimedia» more  MM 2010»
13 years 7 months ago
One person labels one million images
Targeting the same objective of alleviating the manual work as automatic annotation, in this paper, we propose a novel framework with minimal human effort to manually annotate a l...
Jinhui Tang, Qiang Chen, Shuicheng Yan, Tat-Seng C...
CGF
2010
149views more  CGF 2010»
13 years 7 months ago
Over Two Decades of Integration-Based, Geometric Flow Visualization
With ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them remain...
Tony McLoughlin, Robert S. Laramee, Ronald Peikert...