919 citations
- Massachusetts Institute of TechnologyUS27 papers
- Harvard UniversityUS7 papers
- Institute of Cognitive and Brain SciencesUS7 papers
- Chinese Institute for Brain ResearchCN5 papers
- Tsinghua UniversityCN4 papers
- Beijing Academy of Artificial IntelligenceCN3 papers
- Beijing Normal UniversityCN3 papers
- Columbia UniversityUS3 papers
- Harvard–MIT Division of Health Sciences and TechnologyUS3 papers
- IIT@MITUS3 papers
- Italian Institute of TechnologyIT3 papers
- University of California, BerkeleyUS3 papers
Showing 2013Show all
3 papers · 1 filter
cs.CV2013★ 13 cited
Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?
Qianli Liao, Joel Z Leibo, Youssef Mroueh +1
The standard approach to unconstrained face recognition in natural photographs is via a detection, alignment, recognition pipeline. While that approach has achieved impressive resu…
cs.LG2013★ 42 cited
GURLS: a Least Squares Library for Supervised Learning
Andrea Tacchetti, Pavan K Mallapragada, Matteo Santoro +1
We present GURLS, a least squares, modular, easy-to-extend software library for efficient supervised learning. GURLS is targeted to machine learning practitioners, as well as non-s…
cs.NE2013★ 27 cited
The Neural Representation Benchmark and its Evaluation on Brain and Machine
Charles F. Cadieu, Ha Hong, Dan Yamins +3
A key requirement for the development of effective learning representations is their evaluation and comparison to representations we know to be effective. In natural sensory domain…