58 search results - page 7 / 12 » Empirical comparison of graph classification algorithms |
224
Voted
IJCV
2006
15 years 7 months ago
2006
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
194
click to vote
ECAI
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. In this paper we tackle the problem of coordinating multiple decentralised agents with continuous state variables. Specifically we propose a hybrid approach, which combin...
210
click to vote
ESANN
2006
15 years 9 months ago
2006
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
219
Voted
CIKM
2008
Springer
15 years 9 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
195
Voted
NIPS
2004
15 years 9 months ago
2004
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...