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» High-Level Feature Extraction Experiments for TRECVID 2007
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NIPS
2003
13 years 8 months ago
Kernels for Structured Natural Language Data
This paper devises a novel kernel function for structured natural language data. In the field of Natural Language Processing, feature extraction consists of the following two ste...
Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
BMCBI
2007
136views more  BMCBI 2007»
13 years 7 months ago
Automating document classification for the Immune Epitope Database
Background: The Immune Epitope Database contains information on immune epitopes curated manually from the scientific literature. Like similar projects in other knowledge domains, ...
Peng Wang, Alexander A. Morgan, Qing Zhang, Alessa...
HCI
2007
13 years 8 months ago
An Adaptive Vision System Toward Implicit Human Computer Interaction
In implicit human computer interaction, computers are required to understand users’ actions and intentions so as to provide proactive services. Visual processing has to detect an...
Peng Dai, Linmi Tao, Xiang Zhang, Ligeng Dong, Gua...
ASPDAC
2007
ACM
89views Hardware» more  ASPDAC 2007»
13 years 11 months ago
Structured Placement with Topological Regularity Evaluation
Abstract-- This paper introduces a new concept of floorplanning and block placement, called structured placement. Regularity is a key criterion of structured placement so that plac...
Shigetoshi Nakatake
AAAI
2007
13 years 9 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic