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PREMI
2005
Springer
15 years 3 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
SIGMOD
2005
ACM
106views Database» more  SIGMOD 2005»
15 years 10 months ago
Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams
Existing energy-efficient approaches to in-network aggregation in sensor networks can be classified into two categories, tree-based and multi-path-based, with each having unique s...
Amit Manjhi, Suman Nath, Phillip B. Gibbons
ISSTA
2009
ACM
15 years 4 months ago
Identifying semantic differences in AspectJ programs
Program differencing is a common means of software debugging. Although many differencing algorithms have been proposed for procedural and object-oriented languages like C and Ja...
Martin Th Görg, Jianjun Zhao
PLDI
2012
ACM
13 years 7 days ago
Automated error diagnosis using abductive inference
When program verification tools fail to verify a program, either the program is buggy or the report is a false alarm. In this situation, the burden is on the user to manually cla...
Isil Dillig, Thomas Dillig, Alex Aiken
CVPR
2004
IEEE
15 years 11 months ago
Multi-Scale Visual Tracking by Sequential Belief Propagation
A novel statistical method is proposed in this paper to overcome abrupt motion for robust visual tracking. Existing tracking methods that are based on the small motion assumption ...
Gang Hua, Ying Wu