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CVPR
2008
IEEE
15 years 11 months ago
Auto-context and its application to high-level vision tasks
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
Zhuowen Tu
CEAS
2006
Springer
15 years 1 months ago
An Adaptive, Semi-Structured Language Model Approach to Spam Filtering on a New Corpus
Motivated by current efforts to construct more realistic spam filtering experimental corpora, we present a newly assembled, publicly available corpus of genuine and unsolicited (s...
Ben Medlock
ACL
2007
14 years 11 months ago
A Feature Based Approach to Leveraging Context for Classifying Newsgroup Style Discussion Segments
On a multi-dimensional text categorization task, we compare the effectiveness of a feature based approach with the use of a stateof-the-art sequential learning technique that has ...
Yi-Chia Wang, Mahesh Joshi, Carolyn Penstein Ros&e...
NIPS
2008
14 years 11 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...
CVPR
2009
IEEE
16 years 4 months ago
Fast concurrent object localization and recognition
Object localization and classification are important problems in computer vision. However, in many applications, exhaustive search over all class labels and image locations is co...
Tom Yeh, John J. Lee, Trevor Darrell