'Length code' presentation slideshows

CptS 440 / 540 Artificial Intelligence

CptS 440 / 540 Artificial Intelligence. Machine Learning. Machine Learning. What is learning?. Definitions. Webster

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T(n) = 4 T(n/3) + ? (n)

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Terminology

Terminology. Statement ( ?? ) declaration, assignment containing expression ( ??? ) Grammar ( ?? ) a set of rules specify the form of legal statements Syntax ( ?? ) vs. Semantics ( ??) Example: assuming J,K :integer and X,Y :float I := J + K vs I := X+Y Compilation: ??

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CSCI-1680 Link Layer

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Genetics News

Genetics News. EditBase. Mystery Sequence. EditBase format. Pure text format. Problem Set 4. Study Question 3. What is the minimum number of bases to specify the number of different amino acids found in protein?. 1 base fixed length nonoverlapping. G A C T. Study Question 3.

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Image Compression

Image Compression. ?.??????? ??????? ??????????????????? ?????????????? ?????????????????????????????????????????????. Image Compression. Reducing the size of image data files While retaining necessary information. Original Image. Compressed Image file. extracted Image file. compress.

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Learning decision trees

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Color spaces and JPEG

Color spaces and JPEG. Colors. physically, color is electro-magnetic radiation (i.e. light with various wave length, between 390nm-750nm) percieved by the human eye a color is actually made from a combination o light radiations with different wave lengths electro-magnetic radiation spectrum:.

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Assignment 2: (Due at 10:30 a.m on Friday of Week 10)

Question 1 (Given in Tutorial 5) Question 2 (Given in Tutorial 7) If you do Question 1 only, you get 60 points. If you do Question 2 only, you get 90 points. If you correctly do both Question 1 and Question 2, you get 100 points.

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Error-Correcting Codes: Classical to Quantum

Error-Correcting Codes: Classical to Quantum. Timothy S Woodworth and Kishor T. Kapale Department of Physics, Western Illinois University, Macomb IL, 61455. Outline. Classical Intro Binary Numbers Universal Turing Machine Quantum Intro Stern-Gerlach Experiment Vectors

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Huffman codes

Huffman codes. Overview. an effective technique for compressing data typical savings are 20% to 90%. Technique. greedy algorithm use a table of frequencies of occurence of each character to build up and optimal way of representing each character as a binary string. Definition.

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