Joshua Alspector - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 19 from 19

2021

Towards a Unifying Framework for Formal Theories of NoveltyTerrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer. AAAI 2021: 15047-15052 [doi]

2020

DARPA's Role in Machine LearningJoshua Alspector, Thomas G. Dietterich. aim, 41(2):36-48, 2020. [doi]

2004

Improved robustness of signature-based near-replica detection via lexicon randomizationAleksander Kolcz, Abdur Chowdhury, Joshua Alspector. kdd 2004: 605-610 [doi]

The Impact of Feature Selection on Signature-Driven Spam DetectionAleksander Kolcz, Abdur Chowdhury, Joshua Alspector. ceas 2004: [doi]

2002

Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference RankingAleksander Kolcz, Joshua Alspector. ir, 5(1):5-40, 2002.

2000

A Line-Oriented Approach to Word Spotting in Handwritten DocumentsAleksander Kolcz, Joshua Alspector, M. Augusteijn. paa, 3(2):153-168, 2000. [doi]

1999

An Internet-Based Newspaper Filtering and Personalization System (demonstration abstract)Aleksander Kolcz, Joshua Alspector. sigir 1999: 332 [doi]

1998

Comparing Feature-Based and Clique-Based User Models for Movie SelectionJoshua Alspector, Aleksander Kolcz, Nachimuthu Karunanithi. DL 1998: 11-18 [doi]

Visual keyword-based word spotting in handwritten documentsAleksander Kolcz, Joshua Alspector, Marijke F. Augusteijn, Robert Carlson, Gheorghe Popescu. drr 1998: 185-193 [doi]

1997

Feature-based and Clique-based User Models for Movie Selection: A Comparative StudyJoshua Alspector, Aleksander Kolcz, Nachimuthu Karunanithi. umuai, 7(4):279-304, 1997. [doi]

1994

A Study of Parallel Perturbative Gradient DescentD. Lippe, Joshua Alspector. nips 1995: 803-810 [doi]

1992

A Parallel Gradient Descent Method for Learning in Analog VLSI Neural NetworksJoshua Alspector, Ronny Meir, B. Yuhas, Anthony Jayakumar, D. Lippe. nips 1993: 836-844 [doi]

A Volatility Measure for Annealing in Feedback Neural NetworksJoshua Alspector, Torsten Zeppenfeld, Stephan Luna. neco, 4(2):191-195, 1992. [doi]

1991

Experimental Evaluation of Learning in a Neural MicrosystemJoshua Alspector, Anthony Jayakumar, Stephen Luna. nips 1992: 871-878 [doi]

1990

Learning of stable states in stochastic asymmetric networksRobert B. Allen, Joshua Alspector. tnn, 1(2):233-238, 1990. [doi]

Relaxation Networks for Large Supervised Learning ProblemsJoshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppelfeld, Ronny Meir. nips 1991: 1015-1021 [doi]

1989

Neural-style microsystems that learnJoshua Alspector. cm, 27(11):29-36, 1989. [doi]

1988

Performance of a Stochastic Learning MicrochipJoshua Alspector, Bhusan Gupta, Robert B. Allen. nips 1989: 748-760 [doi]

1987

Stochastic Learning Networks and their Electronic ImplementationJoshua Alspector, Robert B. Allen, Victor Hu, Srinagesh Satyanarayana. nips 1988: 9-21 [doi]

Sign in or sign up to see more results.

runs on WebDSL