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» Generating Ambiguity in the Laboratory
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ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 7 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
KDD
2012
ACM
200views Data Mining» more  KDD 2012»
11 years 11 months ago
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
David F. Gleich, C. Seshadhri
ICCV
2003
IEEE
14 years 11 months ago
Incorporating the Torrance and Sparrow Model of Reflectance in Uncalibrated Photometric Stereo
Under the Lambertian reflectance model, uncalibrated photometric stereo with unknown light sources is inherently ambiguous. In this paper, we consider the use of a more general re...
Athinodoros S. Georghiades
PRL
2008
198views more  PRL 2008»
13 years 9 months ago
Pose estimation and tracking using multivariate regression
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
CORR
2011
Springer
197views Education» more  CORR 2011»
13 years 4 months ago
Query Expansion Based on Clustered Results
Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approach...
Ziyang Liu, Sivaramakrishnan Natarajan, Yi Chen