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The performance of these continuous vocabulary models are compared in an automatic scene recognition task. ... Our experiments clearly show that the continuous approaches outperform the standard pLSA model. ... In the next section we will then present the continuous vocabulary pLSA models and explain how the scene recognition system is modified when using a continuous visual vocabulary pLSA model instead of the ...doi:10.1145/1386352.1386395 dblp:conf/civr/HorsterLS08 fatcat:m6lz4trytbf6xowgm4fy2btzca
LOCATION-BASED ACTIVITY RECOGNITION categories and labeled data  . ... PLSA is a more principled approach than LSA, based on a statistical foundation and incorporating a hidden layer called topics. ...doi:10.1145/2069203.2069206 fatcat:b4veqpnsajdrbhm4xvugd3qop4
Novel object-based features are generated based on object detection results using different pooling strategies. ... Due to the large complexity and variability in the appearance of visual concepts, the detection of arbitrary concepts represents a very challenging task. ... An audio vocabulary based on MFCC features from acoustically homogenous segments is built and the latent audio topics are discovered using pLSA. ...doi:10.17192/z2014.0483 fatcat:ol6cciz6gjczbltidl2pl26px4