PPT-Approximating the Depth via Sampling and Emptiness

Shirly Yakubov Motivation Given a set S of n objects we want to store them in a datastructure that could answer range queries For a range r we have rangesearching counting. Driving Distances Baltimore 310 miles Detroit 300 miles Boston 651 miles Louisville 340 miles Buffalo 270 miles Nashville 550 miles Charleston 150 miles New York 433 miles Charlotte 420 miles Philadelphia 323 miles Chicago 485 miles Pittsburgh 60 mi Husheng Li. The University of Tennessee. Chopper Sampling . We introduce a switching function such that . x_s. (t)=x(t)s(t), where. Nyquist. Criterion. The sampling rate should be at least twice the bandwidth of the signal, in order to fully reconstruct the signal.. MTH . 494. LECTURE-13. Ossam Chohan. Assistant Professor. CIIT Abbottabad. 2. STRATIFIED SAMPLING. 3. STRATIFIED SAMPLING. 1.. . Stratification. : The elements in the population are divided into layers/groups/ strata based on their values on one/several auxiliary variables. The strata must be non-overlapping and together constitute the whole population.. Sampling And AliasingSampling And AliasingWhat is sampling?What is sampling?–– The Process of conversion of analog signal to the The Process of conversion of analog signal to the digital sig x(t. ). x~(t. ). Sound is audible in 20 Hz to 20 kHz range:. . f. max. = 20 kHz and the Nyquist rate 2 . f. max. = 40 kHz . What is the extra 10% of the bandwidth used?. Rolloff. from passband to stopband in the magnitude response of the anti-aliasing filter. Husheng Li. The University of Tennessee. Chopper Sampling . We introduce a switching function such that . x_s. (t)=x(t)s(t), where. Nyquist. Criterion. The sampling rate should be at least twice the bandwidth of the signal, in order to fully reconstruct the signal.. Reminder of Emptiness. Tekeningen/ gemengde techniek. Maarten van der Laag. Reminder of Emptiness I . 65x50cm gemengde techniek op papier. Reminder of Emptiness II . 65x50cm gemengde techniek op papier. Robert Christensen. , Feifei Li. University of Utah. Lu Wang, Ke Yi. Hong Kong University. Of Science and Technology. Motivation. Geo Spatial Data is being collected on a massive scale. Approximate aggregations is fast and often effective for this data. Richard Peng. M.I.T.. Joint work with . Dehua. Cheng, Yu Cheng, Yan Liu and . Shanghua. . Teng. (U.S.C.). Outline. Gaussian sampling, linear systems, matrix-roots. Sparse factorizations of . L. p. Value . Similarity . Daniel Wong. †. , Nam Sung Kim. ‡. , . Murali. . Annavaram. ¥. †. University of California, Riverside. dwong@ece.ucr.edu. ‡. University of Illinois, Urbana-. Champagin. Aperture. The aperture is the opening at the rear of the lens that determines how much light travels through the lens and falls on the image sensor. . The size of the aperture’s opening is measured in f-stops. 7. Introduction. In . a typical statistical inference problem, you want to discover one or more characteristics of a given population. .. However, it is generally difficult or even impossible to contact each member of the population.. Why Depth of Knowledge?. Mechanism to ensure that the intent of the . standard . and the level of student demonstration . required . by that standard matches . the assessment . items (required under NCLB) . Contd. ):. MCMC with Gradients, Recent Advances. CS772A: Probabilistic Machine Learning. Piyush Rai. Plan for today. Some other aspects of MCMC. MCMC with gradient. Some other recent advances. 2. Sampling Methods: Label Switching Issue.