au.\*:("SKLANSKY J")
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ON THE HOUGH TECHNIQUE FOR CURVE DETECTION = A PROPOS DE LA TECHNIQUE DE HOUGH DE DETECTION DE COURBESSKLANSKY J.1978; I.E.E.E. TRANS. COMPUTERS; USA; DA. 1978; VOL. 27; NO 10; PP. 923-926; BIBL. 7 REF.Article
MEASURING CONCAVITY ON A RECTANGULAR MOSAICSKLANSKY J.1972; I.E.E.E. TRANS. COMPUTERS; U.S.A.; DA. 1972; VOL. 21; NO 12; PP. 1355-1364; BIBL. 14 REF.Serial Issue
IMAGE SEGMENTATION AND FEATURE EXTRACTION.SKLANSKY J.1978; I.E.E.E. TRANS. SYST. MAN CYBERN.; U.S.A.; DA. 1978; VOL. 8; NO 4; PP. 237-247; BIBL. 1 P. 1/2Article
ON FILLING CELLULAR CONCAVITIES.SKLANSKY J.1975; COMPUTER GRAPH. IMAGE PROCESSG; U.S.A.; DA. 1975; VOL. 4; NO 3; PP. 236-247; BIBL. 17 REF.Article
MARKOV RANDOM FIELD MODELS OF DIGITIZED IMAGE TEXTUREHASSNER M; SKLANSKY J.sdINTERNATIONAL JOINT CONFERENCE ON PATTERN RECOGNITION. 4/1978/KYOTO; JPN; DA. S.D.; PP. 538-540; BIBL. 6 REF.Conference Paper
Impacts of fast computing on image and image and pattern analysisSKLANSKY, J.Mathematical research. 1989, Vol 55, pp 25-27, issn 0138-3019Conference Paper
A GESTALT-GUIDED HEURISTIC BOUNDARY FOLLOWER FOR X-RAY IMAGES OF LUNG NODULESSANKAR PV; SKLANSKY J.1982; IEEE TRANS. PATTERN ANAL. MACH. INTELL.; ISSN 0162-8828; USA; DA. 1982; VOL. 4; NO 3; PP. 326-331; BIBL. 15 REF.Article
DIGITAL AND CELLULAR CONVEXITYKIM CE; SKLANSKY J.1981; CONFERENCE ON PATTERN RECOGNITION AND IMAGE PROCESSING/1981/DALLAS TX; USA; NEW YORK: IEEE; DA. 1981; PP. 156-161; BIBL. 7 REF.Conference Paper
Rock, Reservation and Prison : The Native American Occupation of Alcatraz IslandSKLANSKY, J.American Indian culture and research journal. 1989, Vol 13, Num 2, pp 29-68, issn 0161-6463Article
FINDING THE RIB CAGE IN CHEST RADIOGRAPHS.WECHSLER H; SKLANSKY J.1977; PATTERN RECOGNIT.; G.B.; DA. 1977; VOL. 9; NO 1; PP. 21-30; BIBL. 12 REF.Article
A CONTINUOUS TWO-DIMENSIONAL MODEL OF THRESHOLD LEARNINGSKLANSKY J; MERRYMAN PM.1973; I.E.E.E. TRANS. SYST. MAN CYBERN.; U.S.A.; DA. 1973; VOL. 3; NO 1; PP. 51-61; BIBL. 7 REF.Serial Issue
THE USE OF MARKOV RANDOM FIELDS AS MODELS OF TEXTUREHASSNER M; SKLANSKY J.1980; COMPUTER GRAPH. IMAGE PROCESSG; USA; DA. 1980; VOL. 12; NO 4; PP. 357-370; BIBL. 12 REF.Article
A STOPPING RULE FOR THRESHOLD LEARNINGSKLANSKY J; RAMANUJAM HR.1973; INTERNATION. J. SYST. SCI.; G.B.; DA. 1973; VOL. 4; NO 1; PP. 129-148; BIBL. 14 REF.Serial Issue
A STOPPING RULE FOR TRAINABLE ONE-DIMENSIONAL THRESHOLD LEARNINGSKLANSKY J; RAMANUJAM HR.1972; I.E.E.E. TRANS. SYST. MAN CYBERN.; U.S.A.; DA. 1972; VOL. 2; NO 4; PP. 553-557; BIBL. 4 REF.Serial Issue
THE EQUALIZED ERROR TRAINING PROCEDURE.WASSEL GN; SKLANSKY J.sdIN: CLASSIF. AUTOM. PERCEPT. ORDINATEUR. INST. RECH. INF. AUTOM. SEMIN.; ROCQUENCOURT; 1976; LE CHESNAY; I.R.I.A.; DA. S.D.; PP. 7-33; BIBL. 11 REF.Conference Paper
DIGITAL AND CELLULAR CONVEXITYKIM CE; SKLANSKY J.1982; PATTERN RECOGNITION; ISSN 0031-3203; USA; DA. 1982; VOL. 15; NO 5; PP. 359-367; BIBL. 7 REF.Article
THE DETECTION AND SEGMENTATION OF BLOBS IN INFRARED IMAGESMINOR LG; SKLANSKY J.1981; IEEE TRANS. SYST. MAN CYBERN.; ISSN 0018-9472; USA; DA. 1981; VOL. 11; NO 3; PP. 194-201; BIBL. 8 REF.Article
THE DETECTION AND SEGMENTATION OF BLOBS IN INFRARED IMAGESMINOR LG; SKLANSKY J.1981; CONFERENCE ON PATTERN RECOGNITION AND IMAGE PROCESSING/1981/DALLAS TX; USA; NEW YORK: IEEE; DA. 1981; PP. 464-469; BIBL. 8 REF.Conference Paper
LOCALLY TRAINED PIECEWISE LINEAR CLASSIFIERSSKLANSKY J; MICHELOTTI L.1980; I.E.E.E.E. TRANS. PATTERN ANAL. MACH. INTELL.; USA; DA. 1980; VOL. 2; NO 2; PP. 101-111; BIBL. 13 REF.Article
A LADDER-STRUCTURED DECISION TREE FOR RECOGNIZING TUMORS IN CHEST RADIOGRAPHS.BALLARD DH; SKLANSKY J.1976; I.E.E.E. TRANS. COMPUTERS; U.S.A.; DA. 1976; VOL. 25; NO 5; PP. 503-513; BIBL. 23 REF.Article
A THEORY OF NON UNIFORMLY DIGITIZED BINARY PICTURES.SKLANSKY J; KIBLER DF.1976; I.E.E.E. TRANS. SYST. MAN CYBERN.; U.S.A.; DA. 1976; VOL. 6; NO 9; PP. 637-647; BIBL. 7 REF.Article
A PARALLEL MECHANISM FOR DESCRIBING SILHOUETTESSKLANSKY J; NAHIN PJ.1972; I.E.E.E. TRANS. COMPUTERS; U.S.A.; DA. 1972; VOL. 21; NO 11; PP. 1233-1239; BIBL. 11 REF.Serial Issue
Pauperism and poverty : Henry George, William Graham Sumner, and the ideological origins of modern American social science = Le paupérisme et la pauvreté : Henry George, William Graham Sumner et les origines idéologiques de la science sociale américaine moderneSKLANSKY, J.Journal of the history of the behavioral sciences. 1999, Vol 35, Num 2, pp 111-138, issn 0022-5061Article
FAST POLYGONAL APPROXIMATION OF DIGITIZED CURVESSKLANSKY J; GONZALEZ V.1980; PATTERN RECOGN.; ISSN 0031-3203; USA; DA. 1980; VOL. 12; NO 5; PP. 327-331; BIBL. 8 REF.Article
VARIABLE-RESOLUTION DIGITAL VISION.SKLANSKY J; FAM A.1976; J. CYBERN. INFORM. SCI.; U.S.A.; DA. 1976; VOL. 1; NO 1; PP. 40-49; BIBL. 8 REF.Article