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ACCV
2010
Springer
13 years 4 months ago
A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images
Abstract. We propose a novel method for recognition of structured images and demonstrate it on detection of windows in facade images. Given an ability to obtain local low-level dat...
Radim Tylecek, Radim Sára
ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 9 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
IWSEC
2010
Springer
13 years 7 months ago
Optimal Adversary Behavior for the Serial Model of Financial Attack Trees
Abstract. Attack tree analysis is used to estimate different parameters of general security threats based on information available for atomic subthreats. We focus on estimating the...
Margus Niitsoo
PR
2007
104views more  PR 2007»
13 years 8 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
AAAI
2011
12 years 9 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos