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» A New Approximate Maximal Margin Classification Algorithm
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EMMCVPR
2011
Springer
12 years 7 months ago
Branch and Bound Strategies for Non-maximal Suppression in Object Detection
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
Matthew B. Blaschko
MVA
2007
210views Computer Vision» more  MVA 2007»
13 years 9 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
ICDCS
2009
IEEE
14 years 4 months ago
Pushing the Envelope: Extreme Network Coding on the GPU
While it is well known that network coding achieves optimal flow rates in multicast sessions, its potential for practical use has remained to be a question, due to its high compu...
Hassan Shojania, Baochun Li
BMCBI
2008
132views more  BMCBI 2008»
13 years 7 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
ESA
2008
Springer
134views Algorithms» more  ESA 2008»
13 years 9 months ago
Improved Randomized Results for That Interval Selection Problem
Online interval selection is a problem in which intervals arrive one by one, sorted by their left endpoints. Each interval has a length and a non-negative weight associated with i...
Leah Epstein, Asaf Levin