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ICML
2008
IEEE
14 years 10 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr
ICML
2006
IEEE
14 years 10 months ago
Personalized handwriting recognition via biased regularization
We present a new approach to personalized handwriting recognition. The problem, also known as writer adaptation, consists of converting a generic (user-independent) recognizer int...
Wolf Kienzle, Kumar Chellapilla
KDD
2009
ACM
185views Data Mining» more  KDD 2009»
14 years 10 months ago
On compressing social networks
Motivated by structural properties of the Web graph that support efficient data structures for in memory adjacency queries, we study the extent to which a large network can be com...
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, ...
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
14 years 9 months ago
Pattern-based similarity search for microarray data
One fundamental task in near-neighbor search as well as other similarity matching efforts is to find a distance function that can efficiently quantify the similarity between two o...
Haixun Wang, Jian Pei, Philip S. Yu
RECOMB
2003
Springer
14 years 9 months ago
Designing seeds for similarity search in genomic DNA
Large-scale comparison of genomic DNA is of fundamental importance in annotating functional elements of genomes. To perform large comparisons efficiently, BLAST (Methods: Companio...
Jeremy Buhler, Uri Keich, Yanni Sun