Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract

Source URL: acberg.com

Learning Features and Parts for Fine-Grained Recognition (Invited Paper) Jonathan Krause∗ , Timnit Gebru∗ , Jia Deng † , Li-Jia Li ‡ , Li Fei-Fei∗ ∗

Source URL: vision.stanford.edu

CELLULOSE CHEMISTRY AND TECHNOLOGY STRUCTURAL CHARACTERIZATION OF LIGNIN EXTRACTED WITH ALKALINE HYDROGEN PEROXIDE FROM FURFURAL RESIDUE CHANG-ZHOU CHEN,* MING-FEI LI,* YU-YING WU* and RUN-CANG SUN*,** *

Source URL: www.cellulosechemtechnol.ro

Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition Supplementary Material Jia Deng1,2 , Jonathan Krause1 , Alexander C. Berg3 , Li Fei-Fei1 Stanford University1 , Princeton U

Source URL: vision.stanford.edu

• Measure theory
• Support
• Operator theory
• Ordinary differential equations
• Linear algebra
• Spectral theory of ordinary differential equations
• Lambda calculus
• Mathematical analysis
• Spectral theory
• Mathematics

Detecting avocados to zucchinis: what have we done, and where are we going? Supplementary material Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2

Source URL: web.eecs.umich.edu

• Theoretical computer science
• Statistical classification
• Computer vision
• Image processing
• Mathematics
• Artificial intelligence
• Applied mathematics
• Kadir–Brady saliency detector
• Machine learning
• Algorithm
• Mathematical logic

Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract

Source URL: web.eecs.umich.edu

• Caltech 101
• LabelMe
• Object recognition
• Part-based models
• Segmentation
• Object detection
• Kadir–Brady saliency detector
• Boosting methods for object categorization
• Computer vision
• Image processing
• California Institute of Technology

Scalable Multi-label Annotation Jia Deng1,2 , Olga Russakovsky2 , Jonathan Krause2 , Michael Bernstein2 , Alex Berg3 , and Li Fei-Fei2 University of Michigan1 , Stanford University2 , UNC Chapel Hill3 ,

Source URL: web.eecs.umich.edu

• Machine learning
• Pattern recognition
• Artificial intelligence

Characteristics of Food Residue in Accordance with Catering habits Fei LI, Waste to Energy Research and Technology Council Department of Earth and Environmental Engineering, Columbia University Abstract Food residue is r

Source URL: www.seas.columbia.edu

• Staple foods
• Cuisine
• Food
• Jerky
• Potato
• Water content
• Food and drink
• Analytical chemistry
• Woodworking

Condensed matter research for LARMOR: Quantum phase transitions Fei Li Challenge the future

Source URL: larmor.weblog.tudelft.nl

• Small-angle neutron scattering
• Atomic physics
• Condensed matter physics
• Neutron scattering
• Multiferroics
• Neutron
• Phase transition
• Neutron spin echo
• Inelastic neutron scattering
• Physics
• Scattering
• Diffraction

THUIR at NTCIR-11 IMine Task Subtopic Mining Cheng Luo, Xin Li, Alisher Khodzhaev, Fei Chen, Keyang Xu, Yujie Cao, Yiqun Liu, Min Zhang, Shaoping Ma Department of Computer Science and Technology,

Source URL: research.nii.ac.jp

• Information retrieval
• Natural language processing
• Machine learning
• Search algorithms
• Computational linguistics
• Learning to rank
• Brute-force search
• Bin
• Ranking
• Information science
• Science
• Artificial intelligence