Ingrid Daubechies

3 papers · 2004–2018 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3)

🧭 Keyword Pioneer 📈 Trend Setter ❓ The Questioner

Venues

COLT (1) CVPR (1) JMLR (1)

Top co-authors

Cynthia Rudin (2) Robert E. Schapire (2) Robert Calderbank (1) Wei Zhu (1) Guillermo Sapiro (1) Qiang Qiu (1) Jiaji Huang (1)

Research topics

Machine Learning (3) Core Methods (3) Optimization & Theory · Machine Learning (3) Computer Vision (1) Deep Learning (1) Analysis (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

representation learning (1) manifold regularization (1) convergence analysis (1) margin theory (1) boosting algorithm (1) dynamical system (1) deep neural network (1) overfitting reduction (1) feature regularization (1) margin convergence (1) iterated map (1) neural network (1) cross-spectral face recognition (1) distribution convergence (1) boosting cycle (1)

Papers

LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018 Open Problem: Does AdaBoost Always Cycle? COLT 2012 The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004