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» Anomaly detection in data represented as graphs
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ACL
2001
13 years 8 months ago
Detecting Problematic Turns in Human-Machine Interactions: Rule-induction Versus Memory-based Learning Approaches
We address the issue of on-line detection of communication problems in spoken dialogue systems. The usefulness is investigated of the sequence of system question types and the wor...
Antal van den Bosch, Emiel Krahmer, Marc Swerts
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
14 years 1 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
CSB
2004
IEEE
177views Bioinformatics» more  CSB 2004»
13 years 11 months ago
High-Throughput 3D Structural Homology Detection via NMR Resonance Assignment
One goal of the structural genomics initiative is the identification of new protein folds. Sequence-based structural homology prediction methods are an important means for priorit...
Christopher James Langmead, Bruce Randall Donald
ERCIMDL
2004
Springer
180views Education» more  ERCIMDL 2004»
14 years 26 days ago
Next Generation Search Interfaces - Interactive Data Exploration and Hypothesis Formulation
To date, the majority of Web search engines have provided simple keyword search interfaces that present the results as a ranked list of hyperlinks. More recently researchers have b...
Jane Hunter, Katya Falkovych, Suzanne Little
KDD
2010
ACM
240views Data Mining» more  KDD 2010»
13 years 11 months ago
Diagnosing memory leaks using graph mining on heap dumps
Memory leaks are caused by software programs that prevent the reclamation of memory that is no longer in use. They can cause significant slowdowns, exhaustion of available storag...
Evan K. Maxwell, Godmar Back, Naren Ramakrishnan