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ICCV
2005
IEEE
13 years 11 months ago
Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...
Jian Yao, Zhongfei (Mark) Zhang
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
13 years 4 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
JIDM
2010
90views more  JIDM 2010»
13 years 8 days ago
A Context-Dependent Supervised Learning Approach to Sentiment Detection in Large Textual Databases
Sentiment detection automatically identifies emotions in textual data. The increasing amount of emotive documents available in corporate databases and on the World Wide Web calls f...
Albert Weichselbraun, Stefan Gindl, Arno Scharl
ICCV
2005
IEEE
14 years 7 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
TIP
2008
169views more  TIP 2008»
13 years 5 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht