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» Learning Models for Object Recognition
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SIGITE
2004
ACM
15 years 3 months ago
Implementation of object-orientation using UML in entry level software development courses
In this paper, we establish the need (based on literature and anecdotal evidence) for an infrastructure for CS1 courses to visually support problem solving from the initial proble...
Mohammad H. N. Tabrizi, Carol B. Collins, E. Ozan,...
CSB
2002
IEEE
109views Bioinformatics» more  CSB 2002»
15 years 2 months ago
Towards Automatic Clustering of Protein Sequences
Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we i...
Jiong Yang, Wei Wang 0010
WMTE
2002
IEEE
15 years 2 months ago
Pattern-Based Annotations on E-Books: From Personal to Shared Didactic Content
Our research aims at defining models and software tools in order to provide learners with a training memory. This memory is a computer-based space where a learner can organize and...
Cyrille Desmoulins, Dominique Mille
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 8 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
15 years 2 months ago
KDD Process Planning
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...