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CVPR
2010
IEEE
15 years 5 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
TSD
2010
Springer
15 years 5 months ago
Comparison of Different Lemmatization Approaches through the Means of Information Retrieval Performance
This paper presents a quantitative performance analysis of two different approaches to the lemmatization of the Czech text data. The first one is based on manually prepared diction...
Jakub Kanis, Lucie Skorkovská
CVPR
2011
IEEE
14 years 11 months ago
A Global Optimization Approach to Robust Multi-Model Fitting
We present a novel Quadratic Program (QP) formulation for robust multi-model fitting of geometric structures in vision data. Our objective function enforces both the fidelity of...
Jin Yu, Tat-Jun Chin, David Suter
HUC
2011
Springer
14 years 7 months ago
Exploring micro-incentive strategies for participant compensation in high-burden studies
Micro-incentives represent a new but little-studied trend in participant compensation for user studies. In this paper, we use a combination of statistical analysis and models from...
Mohamed Musthag, Andrew Raij, Deepak Ganesan, Sant...
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
16 years 8 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...