likelihood-based

Squashing is a lossy data compression technique that preserves statistical information. Specifically, squashing compresses a massive dataset to a much smaller one so that outputs from statistical analyses carried out on the smaller (squashed) dataset repro

Likelihood-based Data Squashing: A Modeling Approach to Instance Construction.David Madigan, Nandini Raghavan,& William DuMouchel AT&T Labs - Research fmadigan,raghavan,dumouchelg@http://www.77cn.com.cn Martha Nason& Christian Posse Talaria, Inc. fmnason,posseg@http://www.

增强现实 虚拟现实 人机交互

From Digital Game-Based Learning (McGraw-Hill, 2001)

by Marc Prensky

Chapter 1

The Digital Game-Based Learning

Revolution

Fun at Last!

This generation is growing up in a revolution.

-Ryan Zacharia, 16 year-old Intenet entrepreneur

Sure they have a short attention span — for the old ways of learning!

-Edward Westhead, former Dartmouth professor

They said we could be a toy business, but we wanted to be a sex toy business!

-a trainee in a Wharton e-business simulation

E3, The Electronic Entertainment Expo in Los Angeles, is

Abstract. Understanding the dynamic behavior of parallel programs is a critical issue both for debugging and for optimization. A visualization tool displaying an animated sequence of the global states the program runs through offers valuable support for th

State Based Visualization of PVM Applications

Roland Wism¨u ller

Lehrstuhl f¨u r Rechnertechnik und Rechnerorganisation(LRR-TUM) Institut f¨u r Informatik,Technische Universit¨a t M¨u nchen,D-80290M¨u nchen,Germany

Tel.:+49-89-289-28164,Fax:+49-8

Problem-Based Learning (PBL) describes a learning environment where problems drive the learning. That is, learning begins with a problem to be solved, and the problem is posed is such a way that students need to gain new knowledge before they can solve the

Problem-based Learning in Mathematics

Kyeong Ha RohApril 2003

Problem-Based Learning (PBL) describes a learning environment where problems drive the learning. That is, learning begins with a problem to be solved, and the problem is posed is such a way that students need to g

Problem-Based Learning (PBL) describes a learning environment where problems drive the learning. That is, learning begins with a problem to be solved, and the problem is posed is such a way that students need to gain new knowledge before they can solve the

Problem-based Learning in Mathematics

Kyeong Ha RohApril 2003

Problem-Based Learning (PBL) describes a learning environment where problems drive the learning. That is, learning begins with a problem to be solved, and the problem is posed is such a way that students need to g

Event distribution middleware supports the integration of distributed applications by accepting events from information producers and disseminating applicable events to interested consumers. In this paper we present a flexible new model, the Information Fl

Information Flow Based Event Distribution Middleware

Guruduth Banavar1, Marc Kaplan1, Kelly Shaw2, Robert E. Strom1, Daniel C. Sturman1, and Wei Tao3

1

IBM T. J. Watson Research Center

Hawthorne, NY

{banavar, kaplan, strom, sturman}

2

Dept. of Computer ScienceStanford Universityk

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,VOL.8,NO.5,SEPTEMBER1998539 Unsupervised Video Segmentation Based

on Watersheds and Temporal Tracking

Demin Wang

Abstract—This paper presents a technique for unsupervised video segmentation.This technique consists of two phases:initial segmentation and temporal tracking,similar to a number of ex-isting techniques.However,new algorithms for spatial segmenta-tion,marker extraction,and modi?ed watershed transformation are proposed for the present technique.The new alg

We describe and analyze a new digital signature scheme. The new scheme is quite efficient, does not require the the signer to maintain any state, and can be proven secure against adaptive chosen message attack under a reasonable intractability assumption,

Signature Schemes Based on the Strong RSA AssumptionInstitute for Theoretical Computer Science, ETH Zurich, 8092 Zurich, Switzerlandcramer@inf.ethz.ch

Ronald Cramer Victor Shoup

IBM Zurich Research Laboratory, Saumerstr. 4, 8803 Ruschlikon, Switzerlandsho@

December 6, 1998We d

Event distribution middleware supports the integration of distributed applications by accepting events from information producers and disseminating applicable events to interested consumers. In this paper we present a flexible new model, the Information Fl

Information Flow Based Event Distribution Middleware

Guruduth Banavar1, Marc Kaplan1, Kelly Shaw2, Robert E. Strom1, Daniel C. Sturman1, and Wei Tao3

1

IBM T. J. Watson Research Center

Hawthorne, NY

{banavar, kaplan, strom, sturman}

2

Dept. of Computer ScienceStanford Universityk

One of the most important nonlinearities in mechanical control systems is friction. The effects of friction can be manifested in many different ways. It may cause

FrciiontAnalysi Bsasdeo InnterglaQu daaticrCo nstainrstepD. of Attomauit cCntoro Boxl 181 -S22 010 undL SEWENDA.antzReremal: irntaezr@ocnrtoll.th.s

Oeenof ht meost mportant inolinnaeitrie si nmechnacailc otnrl oysstesm s ifictrin.oT ehe cest fo fictirno ancbe amifented in smna dyi eent wray.s Itm yaca sue stedayst aete rors, rbtu alo usnawtnde ocsillaitnso Th. euppr