Probabilistic Principal components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variable VAR contains the off-subspace variance (which
is assumed to be spherical), while the vector LAMBDA contains the
variances of each of the principal components. This is computed
using the eigenvalue and eigenvector decomposition of X.
This Java Chat, is purely AWT Based, No Swing components used and still it has great look and feel. For this Application, I have developed own Tab Control and Image Canvas.
This assignment requires you to complete the dynamic drawing components of the Date/Time Control Panel from the previous two programming assignments. In particular, you will be moving the map found in the "Time Zone" tab when the time zone changes and will be drawing a clock face corresponding to the time setting.
Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
C8051F320范例：
This release contains the following components:
* USB Interrupt Driver Example
* USB Interrupt Firmware Example
* Host Application (USBTest.exe)
* Host Application Source
