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Table 1. Mean Median latencies (msec) and Percentage Errors (in Parentheses) for the True Problems: Experiment 1.

in The Role of Working Memory Resources in Simple Cognitive Arithmetic
by Patrick Lemaire, Hervé Abdi, Michel Fayol
"... In PAGE 12: ...1398 msec), [F (1, 16) = 134.55, p lt; .0001, MSe= 8562]. As Table1 shows, the di erence between easy and di cult problems tended to vary with memory load, the di erence between the control and the random letter conditions being the greatest (mean respective di erences between easy and di culty problems: 146, 222, 234, and 3l4 msec, for the control, articulatory suppression, canon- ical letter, and random letter conditions, respectively), although the memory... ..."

Table 1. The articulatory feature set.

in An articulatory featurebased tandem approach and factored observation modeling
by Özgür Çetin, Arthur Kantor, Simon King, Chris Bartels, Mathew Magimai-doss, Joe Frankel, Karen Livescu 2007
Cited by 2

Table 2. The suppressed table

in Puzzle J in Abstract
by Ke Wang, Benjamin C. M. Fung
"... In PAGE 2: ... In Example 1, the inference fTrader; UKg ! Discharged violates the template hfJob; Countryg ! Discharged; 75%i. To eliminate this inference, we can suppress Trader and Clerk to a special value ?Job, and suppress UK and Canada to a special value ?Country, see Table2 . Now, the new in- ference f?Job; ?Countryg ! Discharged has con dence 50%, less than the speci ed 75%.... ..."

Table 2. The suppressed table

in Knowledge and Information Systems (2006) c ○ 2006 Springer-Verlag London Ltd. Handicapping Attacker’s Confidence: An Alternative to k-Anonymization
by Ke Wang, Benjamin C. M. Fung, Philip S. Yu
"... In PAGE 3: ... In Example 1, the inference fTrader; UKg ! Discharged violates the template hfJob; Countryg ! Discharged; 75%i. To eliminate this inference, we can suppress Trader and Clerk to a special value ?Job, and suppress UK and Canada to a special value ?Country, see Table2 . Now, the new inference f?Job; ?Countryg ! Discharged has con dence 50%, less than the speci ed 75%.... ..."

Table 2 are suppressed

in Abstract JOURNALOF Monetary ECONOMICS Economic growth and the relative price of capital
by Charles I. Jones 1990

Table of Suppression Program Properties

in Cell Suppression and Audit Programs used for Economic Magnitude Data
by Paul B. Massell, Paul B. Massell 2001

Table 1: Initial articulatory feature set

in Combining Articulatory And Acoustic Information For Speech Recognition In Noisy And Reverberant Environments
by Katrin Kirchhoff 1998
"... In PAGE 2: ....3. Articulatory Systems For both acoustic baseline systems, corresponding articulatory systems were built using a set of heuristically defined articulatory features describing manner and place of articulation. The entire set of features is divided into subsets according to orthogonal ar- ticulatory dimensions (see Table1 ). For each subset, a separate MLP was trained on the acoustic parameterization whose output units correspond to the articulatory classes in that subset.... ..."
Cited by 22

Table 1: Initial articulatory feature set

in Combining Articulatory And Acoustic Information For Speech Recognition In Noisy And Reverberant Environments
by Katrin Kirchhoff, Ag Angewandte Informatik 1998
"... In PAGE 2: ....3. Articulatory Systems For both acoustic baseline systems, corresponding articulatory systems were built using a set of heuristically defined articulatory features describing manner and place of articulation. The entire set of features is divided into subsets according to orthogonal ar- ticulatory dimensions (see Table1 ). For each subset, a separate MLP was trained on the acoustic parameterization whose output units correspond to the articulatory classes in that subset.... ..."
Cited by 22

Table 1. Articulatory parameters in the vocal tract model.

in A 3D vocal tract model for articulatory and visual speech
by Synthesis Olov Engwall, Olov Engwall
"... In PAGE 2: ... The model as a polygon mesh. Articulatory parameters Seven articulatory parameters, as listed in Table1 , are defined as deformations of the vocal tract. The deformations include rotation, translation and pull.... ..."

Table 4: Articulatory-acoustic feature sets.

in Syllable Classification using Articulatory-Acoustic Features
by unknown authors
"... In PAGE 3: ...Articulatory-acoustic features In order to classify syllables, first the lower level building blocks, in this case, articulatory-acoustic features must be ad- dressed. Table4 shows the feature groups that were inves- tigated and the values within each feature group. The tar- get articulatory-acoustic feature representation was obtained by mapping from phonetic-segment labels to features.... ..."
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