|
Education
Web
Wiley Higher Education: Computing Concepts- Algori
Lab Objectives To gain experience with bubble sort, merge sort, linear and binary search algorithms algorithms for the same task that differ widely in performance big-Oh notation estimating and comparing the performance of algorithms measuring the running...
PC World: Can Your Computer Read Lips?
recognition. AVSR is part of Intel's OpenCV computer vision library, a toolbox of imaging functions for developing computer vision applications, which contains a number of face detection algorithms. Speedier ApplicationsWith the speed of today's micro...
Newton's Apple: Smiles
computer-generated models to interact with each other, using speech with appropriate intonations, hand gestures, and facial movements. In another, scientists use algorithms to generate facial animations from speech and are studying how the face, hands, and speech complement each...
Computer Science & Information Systems
ACKNOWLEDGMENTS Recognition and appreciation are extended to those who served in various capacities to brainstorm, write, edit, validate, produce and field test the integrated performance activities and program sequences in this document. Valuable contributions were made by educators...
 Smithsonian: The Plant Press Newsletter Volume 10.1
Sustainably Target 11: No species of wild flora endangered by international trade The Department is involved in two programs that will eventually assist trafficking agents identify endangered plants: plant image recognition technol- ogy and plant identification protocols using D...
1
0
Sustainably Target 11: No species of wild flora endangered by international trade The Department is involved in two programs that will eventually assist trafficking agents identify endangered plants: plant image recognition technol- ogy and plant identification protocols using DNA barcode technology. Plant image recognition software uses shape matching algorithms that can identify specimens by comparing the shape of leaves from an unknown species to the shape of leaves of a digitized species image library. DNA
12
0
http://botany.si.edu/pubs/plantpress/vol10no1.pdf#page=12
botany.si.edu/pubs/plantpress/vol10no1.pdf#page=12
Sustainably Target 11: No species <span class="highlight">of</span> wild flora endangered by international trade The Department is involved in two programs that will eventually assist trafficking agents identify endangered plants: plant image <span class="highlight">recognition</span> technol- ogy and plant identification protocols <span class="highlight">using</span> DNA barcode technology. Plant image <span class="highlight">recognition</span> software uses shape matching <span class="highlight">algorithms</span> that can identify specimens by comparing the shape <span class="highlight">of</span> leaves from an unknown species to the shape <span class="highlight">of</span> leaves <span class="highlight">of</span> a digitized species image library. DNA
Stanford Encyclopedia of Philosophy: quantum computing
problem be always correct, and allow probabilistic algorithms with a negligible probability of error, we can dramatically reduce the computational cost. Probabilistic algorithms are non-deterministic Turing machines whose transition function can randomly change the head's config...
Changes in Learners' Lives One Year After Enrollment in Literacy Programs: An Analysis fro...
these data since there are no direct comparison questions. Participants were asked at the time of the follow-up to report on a subjective experience of life satisfaction. A t-test analysis is not appropriate, given the lack of interval data. A chi-square analysis is also...
1
0
these data since there are no direct comparison questions. Participants were asked at the time of the follow-up to report on a subjective experience of life satisfaction. A t-test analysis is not appropriate, given the lack of interval data. A chi-square analysis is also difficult since there is no clear recognition of what the expected values for a comparison would be. Should equal number of participants have been expected in all categories at follow-up (that is, one-third same, one-third better, one-third
35
0
http://www.ncsall.net/fileadmin/resources/research/report11.pdf#page=35
www.ncsall.net/fileadmin/resources/research/report11.pdf#page=35
these data since there are no direct <span class="highlight">comparison</span> questions. Participants were asked at the time <span class="highlight">of</span> the follow-up to report on a subjective experience <span class="highlight">of</span> life satisfaction. A t-test analysis is not appropriate, given the lack <span class="highlight">of</span> interval data. A chi-square analysis is also difficult since there is no clear <span class="highlight">recognition</span> <span class="highlight">of</span> what the expected values for a <span class="highlight">comparison</span> would be. Should equal number <span class="highlight">of</span> participants have been expected in all categories at follow-up (that is, one-third same, one-third better, one-third
A Compact Guide to Sorting and Searching
Skip Lists Comparison Sorting and Searching Algorithms InsertSort ShellSort QuickSort To view this applet you must enable or install Java on your computer. This is a collection of algorithms for sorting and searching...
Evaluating Online Learning: Challenges and Strategies for Success
32 Evaluating Online Learning: Challenges and Strategies for Success InnOvat IOnS In EduCat IOn with an evaluator to ensure that comparisons are appropriate. together, they will want to take into account the program’s goals, the student popula- tion served, and the program’s structure....
1
0
32 Evaluating Online Learning: Challenges and Strategies for Success InnOvat IOnS In EduCat IOn with an evaluator to ensure that comparisons are appropriate. together, they will want to take into account the program’s goals, the student popula- tion served, and the program’s structure. Second, program leaders should clearly articulate the purpose of the comparison. Is the evaluation seeking to find out if the online program is just as effective as the traditional one, or more effective? In some
42
0
http://www.ed.gov/admins/lead/academic/evalonline/evalonline.pdf#page=42
www.ed.gov/admins/lead/academic/evalonline/evalonline.pdf#page=42
32 Evaluating Online Learning: Challenges and Strategies for Success InnOvat IOnS In EduCat IOn with an evaluator to ensure that comparisons are appropriate. together, they will want to take into account the program’s goals, the student popula- tion served, and the program’s structure. Second, program leaders should clearly articulate the purpose <span class="highlight">of</span> the <span class="highlight">comparison</span>. Is the evaluation seeking to find out if the online program is just as effective as the traditional one, or more effective? In some
Going Green: The Promise of Supplier Environmental Management
purchasing system. In all cases, U.S. standards are the benchmark for environmental performance,even when those standards must be transplanted to other countries. Goals: The goal of the SCEM program is “100% compli- ance”with standards, to be secured by going beyond com- pl...
1
0
purchasing system. In all cases, U.S. standards are the benchmark for environmental performance,even when those standards must be transplanted to other countries. Goals: The goal of the SCEM program is “100% compli- ance”with standards, to be secured by going beyond com- pliance in product and process design and operation. Reporting: Progress is measured against that goal by report- ing incidents of non-compliance internally, and reporting externally innovations that go beyond compliance.As men- tioned earlier
32
0
http://www.neefusa.org/pdf/SupplyChainStudy.pdf#page=32
www.neefusa.org/pdf/SupplyChainStudy.pdf#page=32
purchasing system. In all cases, U.S. standards are the benchmark for environmental <span class="highlight">performance</span>,even when those standards must be transplanted to other countries. Goals: The goal <span class="highlight">of</span> the SCEM program is “100% compli- ance”with standards, to be secured by going beyond com- pliance in product and process design and operation. Reporting: Progress is measured <span class="highlight">against</span> that goal by report- ing incidents <span class="highlight">of</span> non-compliance internally, and reporting externally innovations that go beyond compliance.As men- tioned earlier
|
