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PAMI
2012
11 years 9 months ago
Trainable Convolution Filters and Their Application to Face Recognition
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...
PROFES
2004
Springer
14 years 21 days ago
Effort Estimation Based on Collaborative Filtering
Effort estimation methods are one of the important tools for project managers in controlling human resources of ongoing or future software projects. The estimations require histori...
Naoki Ohsugi, Masateru Tsunoda, Akito Monden, Ken-...
ADC
2006
Springer
123views Database» more  ADC 2006»
14 years 1 months ago
Recency-based collaborative filtering
Collaborative filtering is regarded as one of the most promising recommendation algorithms. Traditional approaches for collaborative filtering do not take concept drift into acc...
Yi Ding, Xue Li, Maria E. Orlowska
CORR
2007
Springer
121views Education» more  CORR 2007»
13 years 7 months ago
Iterative Filtering for a Dynamical Reputation System
The paper introduces a novel iterative method that assigns a reputation to n + m items: n raters and m objects. Each rater evaluates a subset of objects leading to a n × m rating...
Cristobald de Kerchove, Paul Van Dooren
ICCBR
2007
Springer
14 years 1 months ago
Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering
In this paper, we compare case-based spam filters, focusing on their resilience to concept drift. In particular, we evaluate how to track concept drift using a case-based spam fi...
Sarah Jane Delany, Derek G. Bridge