Guide to Convolutional Neural Networks
General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a cl...
General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a cl...
This manuscript is a partial draft of a book to be published in early 1994 by AddisonWesley (ISBN 0-201-63337-X). Addison-Wesley has given me permissi...
Current field forecast verification measures are inadequate, primarily because they compress the comparison between two complex spatial field processe...
This design uses Common-Emitter Amplifier (Class A) with 2N3904 Bipolar Junction Transistor. Use “Voltage Divider Biasing” to reduce the effec...
for partitioning...