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Feature learning
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111	M OTIVATION • Deep feature learning is heavily co-related with sample selection, while some outliers or hard samples may degenerate the performance. An interesting problem arises, which is the focus of this work: How t Add to Reading List Source URL: image-net.org Language: English - Date: 2015-12-16 23:04:50 Research ImageNet Experiment Greedy Algorithm Randomness
112	Vision-based Bicyclist Detection and Tracking for Intelligent Vehicles Hyunggi Cho, Paul E. Rybski and Wende Zhang Abstract— This paper presents a vision-based framework for intelligent vehicles to detect and track peo Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2010-05-18 15:43:25 Feature detection Ensemble learning Histogram of oriented gradients Pedestrian detection AdaBoost Boosting KanadeLucasTomasi feature tracker Edge detection LucasKanade method Cluster analysis Optical flow Corner detection
113	Supplementary Material for Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Stanford University Add to Reading List Source URL: cvgl.stanford.edu Language: English - Date: 2016-04-30 19:06:55 Search algorithms K-nearest neighbors algorithm
114	Feature: Promising Practices In Deeper Learning And Equity Some have called education the “civil rights issue of our time,” as it has the potential to offer a path to increased opportunity for all young people. In pa Add to Reading List Source URL: www.nmefoundation.org Language: English - Date: 2016-03-29 08:58:51 Pedagogy Education Personalized learning Competency-based learning Deeper Learning Educational technology Flipped classroom Social learning Facebook
115	Two-Stage Part-Based Pedestrian Detection Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2012-09-25 16:03:40 Feature detection Ensemble learning Statistical classification Histogram of oriented gradients Face recognition Cascading classifiers ViolaJones object detection framework Pedestrian detection Support vector machine Edge detection Alberto Broggi AdaBoost
116	Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees Georgios Theocharous Adobe Research Add to Reading List Source URL: psthomas.com Language: English - Date: 2015-05-02 18:41:02 Stochastic optimization Machine learning Belief revision Reinforcement learning Greedy algorithm Feature selection Recommender system Algorithm Multi-armed bandit Image segmentation Mathematical optimization
117	Machine recognition of timbre using steady-state tone of acoustic musical instruments Ichiro Fujinaga Peabody Conservatory of Music Johns Hopkins University Baltimore, MD USA 21202 Add to Reading List Source URL: www.music.mcgill.ca Language: English - Date: 1999-03-18 22:07:48 Machine learning Pattern recognition K-nearest neighbors algorithm Feature Statistical classification Timbre
118	In this issueTeacher Feature - Dionne Lambert 2. Register Now! California Agriculture in the Classroom Conference 3. Conference Scholarships 4. Visit the California State Fair Add to Reading List Source URL: learnaboutag.org Language: English - Date: 2016-07-11 20:41:26 Environmental education in the United States Project Learning Tree Sacramento California Agriculture in the Classroom
119	Prediction tasks over nodes and edges in networks require careful effort in engineering features for learning algorithms. Recent research in the broader field of representation learning has led to significant progress in Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Feature learning Machine learning Artificial neural networks Computational statistics Deep learning
120	NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function

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