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ICCV
2011
IEEE
13 years 12 months ago
DTAM: Dense Tracking and Mapping in Real-Time
DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...
Richard A. Newcombe, Steven Lovegrove, Andrew J. D...
MM
2006
ACM
127views Multimedia» more  MM 2006»
15 years 5 months ago
The computational extraction of temporal formal structures in the interactive dance work '22'
In this paper we propose a framework for the computational extraction of time characteristics of a single choreographic work. Computational frameworks can aid in revealing nonsali...
Vidyarani M. Dyaberi, Hari Sundaram, Thanassis Rik...
TON
2012
13 years 2 months ago
Taming the Mobile Data Deluge With Drop Zones
—Human communication has changed by the advent of smartphones. Using commonplace mobile device features they started uploading large amounts of content that increases. This incre...
Ionut Trestian, Supranamaya Ranjan, Aleksandar Kuz...
BMCBI
2007
125views more  BMCBI 2007»
14 years 12 months ago
Identification of discriminative characteristics for clusters from biologic data with InforBIO software
Background: There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, suc...
Naoto Tanaka, Masataka Uchino, Satoru Miyazaki, Hi...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 days ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu