The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification Ofir Pele, Ben Taskar ofirpele, University of Pennsylvania, Department of Computer and Information Science, Philadelphia

Source URL: proceedings.mlr.press

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification Ofir Pele, Ben Taskar ofirpele, University of Pennsylvania, Department of Computer and Information Science, Philadelphia

Source URL: jmlr.csail.mit.edu

k-DPPs: Fixed-Size Determinantal Point Processes Alex Kulesza Ben Taskar University of Pennsylvania, Department of Computer and Information Science, Philadelphia, PAUSA

Source URL: www.seas.upenn.edu

Discovering Diverse and Salient Threads in Document Collections Ben Taskar Jennifer Gillenwater Alex Kulesza Department of Computer and Information Science University of Pennsylvania

Source URL: www.seas.upenn.edu

Cascaded Models for Articulated Pose Estimation Benjamin Sapp, Alexander Toshev, and Ben Taskar University of Pennsylvania, Philadelphia, PAUSA {bensapp,toshev,taskar}@cis.upenn.edu

Source URL: www.seas.upenn.edu

Noname manuscript No. (will be inserted by the editor) Shape-based Object Detection via Boundary Structure Segmentation Alexander Toshev · Ben Taskar · Kostas Daniilidis

Source URL: www.seas.upenn.edu

Sidestepping Intractable Inference with Structured Ensemble Cascades David Weiss∗ Benjamin Sapp∗ Ben Taskar Computer and Information Science

Source URL: www.seas.upenn.edu

1 Generative-Discriminative Basis Learning for Medical Imaging Nematollah K. Batmanghelich, Member, IEEE, Ben Taskar, Christos Davatzikos, Senior Member, IEEE

Source URL: www.seas.upenn.edu

Structured Determinantal Point Processes Alex Kulesza Ben Taskar Department of Computer and Information Science University of Pennsylvania Philadelphia, PA 19104

Source URL: www.seas.upenn.edu

• Mathematical analysis
• Mathematics
• Statistics
• Model theory
• Constructible universe
• Distribution
• Normal distribution
• Interpretation
• IP
• Static single assignment form

Learning from Ambiguously Labeled Images Timothee Cour, Benjamin Sapp, Chris Jordan, Ben Taskar University of Pennsylvania 3330, Walnut Street {timothee,bensapp,wjc,taskar}@seas.upenn.edu

Source URL: www.seas.upenn.edu

• Statistical classification
• Machine learning
• Learning
• Artificial intelligence
• Semi-supervised learning
• Support vector machine
• Supervised learning
• K-nearest neighbors algorithm
• Linear classifier
• Multi-label classification
• Cross entropy
• Hinge loss