Publications

Publications
We strongly believe in open source and giving to our community. We work directly with researchers in academia and seek out new perspectives with our intern and fellowship programs. We generalize our solutions and release them to the world as open source projects. We host discussions and publish our results.
Publications
Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter
Aggregated 2D range queries on clustered points.
Nieves R. Brisaboa, Guillermo de Bernardo, Roberto Konow, Gonzalo Navarro, Diego Seco
Fast compressed-based strategies for author profiling of social media texts
Francisco Claude, Roberto Konow, Susana Ladra
Fashion Apparel Detection: The Role of Deep Convolutional Neural Network and Pose-dependent Priors
Kota Hara, Vignesh Jagadeesh, Robinson Piramuthu
Astro: A Predictive Model for Anomaly Detection and Feedback-based Scheduling on Hadoop
Chaitali Gupta, Mayank Bansal, Tzu-Cheng Chuang, Ranjan Sinha, Sami Ben-romdhane
Eagle: User Profile-based Anomaly Detection for Securing Hadoop Clusters
Chaitali Gupta, Ranjan Sinha, Yong Zhang
Statistical proximal point methods for image reconstruction
A.O. Hero, S. Crétien and Robinson Piramuthu
A new method for computing robustness margins for complex parametric uncertainties
Haniph Latchman, Nalin Pithwa, Kuo Yen, Robinson Piramuthu
Furniture-Geek: Understanding Fine-Grained Furniture Attributes from Freely Associated Text and Tags
Vicente Ordonez, Vignesh Jagadeesh, Wei Di, Anurag Bhardwaj, Robinson Piramuthu
Parallel Feature Selection inspired by Group Testing
Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q Ngo, Long Nguyen, Christopher Ré, Venu Govindaraju