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» Pattern Recognition Using Functions of Multiple Instances
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BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 9 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 8 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
PR
2007
133views more  PR 2007»
15 years 1 months ago
Incorporating multiple SVMs for automatic image annotation
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
Xiaojun Qi, Yutao Han
IJCAI
1993
15 years 3 months ago
Situation Recognition: Representation and Algorithms
The situation recognition system, to which this paper is devoted, receives as input a stream of time-stamped events; it performs recognition of instances of occurring situations, ...
Christophe Dousson, Paul Gaborit, Malik Ghallab
BMVC
2000
15 years 3 months ago
Recognising the Dynamics of Faces across Multiple Views
We present an integrated framework for dynamic face detection and recognition, where head pose is estimated using Support Vector Regression, face detection is performed by Support...
Yongmin Li, Shaogang Gong, Heather M. Liddell