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» Algorithms for dynamic geometric problems over data streams
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KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 11 days ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
ICDCS
2000
IEEE
15 years 2 months ago
An Adaptive, Perception-Driven Error Spreading Scheme in Continuous Media Streaming
For transmission of continuous media (CM) streams such as audio and video over the Internet, a critical issue is that periodic network overloads cause bursty packet losses. Studie...
Srivatsan Varadarajan, Hung Q. Ngo, Jaideep Srivas...
RAS
2010
127views more  RAS 2010»
14 years 8 months ago
Maximum-likelihood sample-based maps for mobile robots
— The problem of representing environments of a mobile robot has been studied intensively in the past. The predominant approaches for geometric representations are gridbased or l...
Daniel Meyer-Delius, Wolfram Burgard
ICCV
2007
IEEE
15 years 12 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
ICASSP
2011
IEEE
14 years 1 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur