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CORR
2006
Springer
138views Education» more  CORR 2006»
15 years 6 months ago
Tight Bounds on the Complexity of Recognizing Odd-Ranked Elements
Let S = s1, s2, s3, ..., sn be a given vector of n distinct real numbers. The rank of z R with respect to S is defined as the number of elements si S such that si z. We consider...
Shripad Thite
192
Voted
SIAMCOMP
1998
114views more  SIAMCOMP 1998»
15 years 6 months ago
Universal Limit Laws for Depths in Random Trees
Random binary search trees, b-ary search trees, median-of-(2k+1) trees, quadtrees, simplex trees, tries, and digital search trees are special cases of random split trees. For these...
Luc Devroye
CVPR
2001
IEEE
16 years 9 months ago
Affine Arithmetic Based Estimation of Cue Distributions in Deformable Model Tracking
In this paper we describe a statistical method for the integration of an unlimited number of cues within a deformable model framework. We treat each cue as a random variable, each...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
181
Voted
GIS
2009
ACM
16 years 8 months ago
Efficient Viewpoint Assignment for Urban Texture Documentation
We envision participatory texture documentation (PTD) as a process in which a group of users (dedicated individuals and/or general public) with camera-equipped mobile phones parti...
Cyrus Shahabi, Farnoush Banaei Kashani, Houtan Shi...
177
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson