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

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

AN ADAPTIVE NON PARAMETRIC LINEAR CLASSIFIER. = CLASSIFICATEUR LINEAIRE NON-PARAMETIQUE ADAPTATIFWASSEL GN; SKLANSKY J.1976; PROC. I.E.E.E.; U.S.A.; DA. 1976; VOL. 64; NO 8; PP. 1162-1171; BIBL. 17 REF.Article

TRAINING A ONE-DIMENSIONAL CLASSIFIER TO MINIMIZE THE PROBABILITY OF ERRORWASSEL GN; SKLANSKY J.1972; I.E.E.E. TRANS. SYST. MAN CYBERN.; U.S.A.; DA. 1972; VOL. 2; NO 4; PP. 533-541; BIBL. 21 REF.Serial Issue

MINIMAL PIECEWISE LINEAR CLASSIFIERSSKLANSKY J; MICHELOTTI L.sdINTERNATIONAL JOINT CONFERENCE ON PATTERN RECOGNITION. 4/1978/KYOTO; JPN; DA. S.D.; PP. 230-232; BIBL. 4 REF.Conference Paper

SKELETONS FROM SEQUENTIAL BOUNDARY DATASHAPIRO B; PISA J; SKLANSKY J et al.1979; PATTERN RECOGNITION AND IMAGE PROCESSING. INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS COMPUTER SOCIETY. CONFERENCE ON PATTERN RECOGNITION AND IMAGE PROCESSING/1979/CHICAGO IL; USA; NEW YORK: IEEE; DA. 1979; PP. 265-270; BIBL. 17 REF.Conference Paper

SKELETON GENERATION FROM X, Y BOUNDARY SEQUENCESSHAPIRO B; PISA J; SKLANSKY J et al.1981; COMPUT. GRAPH. IMAGE PROCESS.; ISSN 0146-664X; USA; DA. 1981; VOL. 15; NO 2; PP. 136-153; BIBL. 18 REF.Article

FINDING CIRCLES BY AN ARRAY OF ACCUMULATORS.KIMME C; BALLARD D; SKLANSKY J et al.1975; COMMUNIC. A.C.M.; U.S.A.; DA. 1975; VOL. 18; NO 2; PP. 120-122; BIBL. 6 REF.Article