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ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
15 years 4 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
CVPR
2010
IEEE
1778views Computer Vision» more  CVPR 2010»
16 years 2 months ago
Detecting Text in Natural Scenes with Stroke Width Transform
We present a novel image operator that seeks to find the value of stroke width for each image pixel, and demonstrate its use on the task of text detection in natural images. The s...
Boris Epshtein, Eyal Ofek, Yonatan Wexler
USS
2008
15 years 9 months ago
CloudAV: N-Version Antivirus in the Network Cloud
Antivirus software is one of the most widely used tools for detecting and stopping malicious and unwanted files. However, the long term effectiveness of traditional hostbased anti...
Jon Oberheide, Evan Cooke, Farnam Jahanian
PVLDB
2010
117views more  PVLDB 2010»
15 years 5 months ago
Distance-Based Outlier Detection: Consolidation and Renewed Bearing
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
Gustavo Henrique Orair, Carlos Teixeira, Ye Wang, ...
CVPR
2005
IEEE
16 years 8 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit