... Lens Image Processing Systems 5.1 Impulse Response and Single Lens Imaging System 5.2 Two-Lens Image Processing System 5.3 Examples of Coherent Image Processing 5.4 Incoherent Image Processing ... Hill Drive, Natick, MA 01760-2098, USA Contemporary optical image processing with MATLAB 1 MATLAB (Computer file) 2 Image processing - Computer Q The paper used in this publication meets the ... Topics in Optical Image Processing 7.1 Theory of Optical Heterodyne Scanning 7.1.1 Bipolar incoherent image processing 7.1.2 Optical scanning holography 7.2 Acousto-Optic Image Processing 7.2.1 Experimental
Ngày tải lên: 05/06/2014, 12:01
... in the presence of oblivious BSs (that is, BSs with no information about the codebooks) multicell processing is able to provide ideal performance with relatively small backhaul capacities, unless ... backbone links connecting the BSs, either among themselves or with a central processor (CP) Previous works on multicell processing have dealt with different cellular models that capture various tradeoffs ... Rates achievable with oblivious BSsRobl, sequential DPC Rseq(with optimizedJ), ICTS RICTS, and local CIRlocalversusα2for C = 6 andP = 10 dB (iii) allowing the capacityC to increase with power P,
Ngày tải lên: 21/06/2014, 19:20
Báo cáo hóa học: "Signal Processing with Teams of Embedded Workhorse Processors" pdf
... include ECAN With 128 milliseconds of ECAN the channel count drops to 192 Thus 6 chips are required for 1008 channels with 128 mil-liseconds of ECAN Like Calisto, TNETV3010 is marketed with a very ... has a 32-bit MIPS core with 16 KB instruction and data caches plus a 4×4 mesh connected array of 32-bit processing elements (PE) [13,14] A 1 MB level 2 cache is also on chip with additional mem-ory ... teams of WHP’s, processing power can be efficiently allocated to solve demanding signal processing problems The architectures cited in Section 1.1 each have their unique way of parallel processing 2.1
Ngày tải lên: 22/06/2014, 22:20
Báo cáo hóa học: " Robust Distant Speech Recognition by Combining Multiple Microphone-Array Processing with Position-Dependent CMN" ppt
... multiple-microphone processing using a single decoder (i.e., single-decoder processing) is proposed in Section 4.2 In Section 4.3, we combine multiple-decoder processing or single-decoder processing with the ... with multiple-decoder processing or single-decoder processing is proposed This is called multiple microphone-array process-ing Furthermore, position-dependent CMN (PDCMN) is also integrated with ... is called single-decoder processing, resulting in lower computational cost We combine the delay-and-sum beamforming with multiple-decoder processing or single-decoder processing, which is termed
Ngày tải lên: 22/06/2014, 23:20
An introduction to digital image processing with matlab
... Trang 1An Introduction to Digital Image Processing with Matlab Notes for SCM2511 Image Processing 1 Semester 1, 2004 Alasdair McAndrew School of Computer Science ... is image processing? 1 1.3 Image Acquisition and sampling 4 1.4 Images and digital images 8 1.5 Some applications 10 1.6 Aspects of image processing 11 1.7 An image processing ... various shadowsfalling upon it We are concerned with single images: snapshots, if you like, of a visual scene Although imageprocessing can deal with changing scenes, we shall not discuss it in
Ngày tải lên: 23/07/2014, 00:24
Natural Language Processing with Python Phần 1 docx
... Trang 3Natural Language Processing with PythonTrang 5Natural Language Processingwith Python Steven Bird, Ewan Klein, and Edward Loper Trang 6Natural Language Processing with Pythonby Steven Bird, ... intuitive framework along with substantial building blocks, givingusers a practical knowledge of NLP without getting bogged down in the tedioushouse-keeping usually associated with processing annotated ... the most important NLTK modules Table P-2 Language processing tasks and corresponding NLTK modules with examples of functionality Language processing task NLTK modules Functionality Accessing
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 2 ppsx
... needs to be endowed with this capability in order to interact naturally Without it, when asked, Do you know when Saving Private Ryan is playing?, a system might unhelpfully respond with a cold Yes ... can access the “raw” text of the book ,not split up into tokens The raw() function gives us the contents of the file withoutany linguistic processing So, for example, len(gutenberg.raw('blake-poems.txt') ... (eds., 2010) Handbook of Natural Language Processing (second edition), Chapman & Hall/CRC. • Jurafsky, Daniel and James Martin (2008) Speech and Language Processing (second edition), Prentice
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 4 ppsx
... from an HTML file, we can just callget_text() with the name of the file as its only argument It will return a string, and wecan assign this to a variable, e.g., contents = get_text("test.html") ... defined only within that function.The name is not visible outside the function, or in other functions This behavior meansyou can choose variable names without being concerned about collisions with namesused ... that computes the same thing: Trang 9>>> total = sum(len(t) for t in tokens)>>> print total / len(tokens) 4.2765382469 The first line uses a generator expression to sum the token
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 5 pptx
... a text to replacelow-frequency words with a special “out of vocabulary” token, UNK, with the help of adefault dictionary (Can you work out how to do this without reading on?) pro-We need to create ... nltk.Index is a defaultdict(list) with extra support for initialization. Similarly, nltk.FreqDist is essentially a defaultdict(int) with extra support for initialization (along with sorting and plotting ... the contents of a Python list with the help of an integer index. 5.3 Mapping Words to Properties Using Python Dictionaries | 189 Trang 8Contrast this situation with frequency distributions (Section
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 6 pdf
... punct_features(tokens, i): return {'next-word-capitalized': tokens[i+1][0].isupper(), >>> featuresets = [(punct_features(tokens, i), (i in boundaries)) for i in range(1, len(tokens)-1) ... for extracting features:Here, tokens is a merged list of tokens from the individual sentences, and boundaries is a set containing the indexes of all sentence-boundary tokens Next, we need to specifythe ... Figure 6-4 by replacing theleftmost leaf with a new decision stump, trained on the subset of the training set names that do not start with a k or end with a vowel or an l. Entropy and Information
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 7 ppt
... init_wfst(tokens, grammar): def complete_wfst(wfst, tokens, grammar, trace=False): index = dict((p.rhs(), p.lhs()) for p in grammar.productions()) numtokens = len(tokens) for span in range(2, numtokens+1): ... grammatical analysis A parser can serve as amodel of psycholinguistic processing, helping to explain the difficulties that humanshave with processing certain syntactic constructions Many natural language ... of tagger output, goodchunkers are able to work with the erroneous output of taggers Look for otherexamples of correctly chunked noun phrases with incorrect tags 10 ◑ The bigram chunker scores
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 8 pot
... category labels such as TV and IV by V along with a feature that tells us whether the verb combines with a following NP object or whether it can occur without any complement? A simple approach, ... will also allow us to parse sentences without gaps: >>> tokens = 'you claim that you like cats'.split() >>> for tree in cp.nbest_parse(tokens): Trang 18In addition, it admits ... constructions:>>> tokens = 'rarely do you sing'.split() >>> for tree in cp.nbest_parse(tokens): (VP[] (V[-AUX, SUBCAT='intrans'] sing)))) Case and Gender in German Compared with English,
Ngày tải lên: 07/08/2014, 04:20
Natural Language Processing with Python Phần 9 pptx
... start with bo(\P.all x.(girl(x) -> P(x)),z1), which we want to combine with chase(z1,z2) The quantifierpart of the binding operator is \P.all x.(girl(x) -> P(x)), and to combine this withchase(z1,z2), ... >>> sentence = 'Angus gives a bone to every dog' >>> tokens = sentence.split() >>> trees = parser.nbest_parse(tokens) Trang 7>>> for tree in trees: print tree.node['SEM'] ... earlier is that they do not deal withscope ambiguity Our translation method is syntax-driven, in the sense that the se-mantic representation is closely coupled with the syntactic analysis, and
Ngày tải lên: 07/08/2014, 04:20
XSLT processing with Java ppsx
... Trang 1XSLT processing with Java GV: Vũ Đình Hồng Khoa: CNTT – TỨD Trang 25 An XSL transformer 4 Understanding XPath notation 3 Processing elements in XSLT templates ... > Trang 15Matching with Predicates- /AAA/BBB[last()]: Node BBB last - /AAA/BBB[CCC=“content”]: Node BBB level 3 (have child node CCC with content ) Trang 16Matching with Predicates (continued) ... Xslt specific how to transform XML into HTML, XML, or other document formats XPath pattern selects a set of node for processing Control conditional processing through XSLT
Ngày tải lên: 07/08/2014, 15:21
Big data processing with peer to peer architectures
... become synonymous with this umbrella term; data-distributed processing refers to the distribution of processing logic according to the horizontally-partitioned data elements without distinction ... resourcemanagement; with elastic processing, resources can be allocated throughoptimized scheduling, thus enabling better processing throughput The use of the MapReduce framework has close associations with ... deep analytic jobs),the processing may have poor elasticity, Therefore, the elastic processingmodel of the MapReduce framework has additional appeal; with such anelastic processing mechanism, the
Ngày tải lên: 09/09/2015, 11:13
ARRAY SIGNAL PROCESSING WITH ALPHA STABLE DISTRIBUTIONS
... right with equal probability The root mean square of the displacement can be shown [e.g 66] to scale with the square root of the number of steps N Taking the limit , where N is fixed, and with ... (increasingly less) inept skater that I am today Without them, my Saturdays would not be anywhere near as interesting, and I would not have stuck with skating long enough to experience the satisfaction ... /1 38] for the power-law index of a given system with set conditions, even for the sandpile, for which the governing rules are remarkably simple With numerous new examples of power-law behaviour
Ngày tải lên: 12/11/2015, 01:03
Fast data processing with spark 2 3rd edition
... are added inthe Spark 2.0 release Chapter 10, Spark with Big Data, describes the interfaces with Parquet and HBase. Chapter 11, Machine Learning with Spark ML Pipelines, is my favorite chapter We ... for compiling with the -Pyarn switch Trang 40Spark standalone modeIf you have a set of machines without any existing cluster management software, you can deploy Spark over SSH with some handy ... offers eBook versions of every book published, with PDF and print book customer, you are entitled to a discount on the eBook copy Get in touch with us at service@packtpub.com for more details
Ngày tải lên: 06/06/2017, 15:49
Fast data processing with spark
... separate github repos: • https://github.com/holdenk/fastdataprocessingwithspark-sharkexamples • https://github.com/holdenk/fastdataprocessingwithsparkexamples • https://github.com/holdenk/chef-cookbook-spark ... school with a single-node LAMP stack and grew with it by adding more languages, components, and nodes He graduated in Milan and worked on several web-related projects He is currently working with ... Running a Spark Application 31 Building your Spark project with sbt 31 Building your Spark job with Maven 35 Building your Spark job with something else 37 Summary 38 Chapter 4: Creating a SparkContext
Ngày tải lên: 12/03/2019, 10:35
Applied natural language processing with python
... Language Processing with Python Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing — Taweh Beysolow II Trang 2Applied Natural Language Processing with Python ... of Natural Language Processing Natural language processing can be classified as a subset of the broader field of speech and language processing Because of this, NLP shares similarities with parallel ... been a pleasure to work with you all on this text I couldn’t have asked for a better team Trang 11Introduction Thank you for choosing Applied Natural Language Processing with Python for your journey
Ngày tải lên: 12/04/2019, 00:24
Mastering natural language processing with python
... correcting tokens In this section, we will discuss the replacement of tokens with other tokens We will also about how we can correct the spelling of tokens by replacing incorrectly spelled tokens with ... sorted list This law describes how tokens are distributed in languages: some tokens occur very frequently, some occur with intermediate frequency, and some tokens rarely occur. Let's see the ... a problem with any aspect of this book, you can contact us at questions@packtpub.com, and we will do our best to address the problem. Trang 16Working with StringsNatural Language Processing
Ngày tải lên: 12/04/2019, 00:41
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