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PAMI
2012
11 years 9 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
ICS
2010
Tsinghua U.
13 years 11 months ago
Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization
We explore the intersection between an emerging class of architectures and a prominent workload: GPGPUs (General-Purpose Graphics Processing Units) and regular expression matching...
Jamin Naghmouchi, Daniele Paolo Scarpazza, Mladen ...
IPSN
2011
Springer
12 years 10 months ago
Sensor networks for the detection and tracking of radiation and other threats in cities
This paper presents results from experiments, mathematical analysis, and simulations of a network of static and mobile sensors for detecting threats on city streets and in open ar...
Annie H. Liu, Julian J. Bunn, K. Mani Chandy
ICML
2010
IEEE
13 years 8 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...