Titus Marius Alexa sive frequentius Marius Alexa, vulgo Dietmar Alexa, Werinensis, est latinista, musicus, violinista, linguista et scriptor latinus, natione Theodiscus.
Fuit propraeses LVPAe, societatis cuius praeses erat Inga Pessarra.
Index
1Carmen in honorem Titi Marii Alexae
2Eius scripta
3Notae
4Nexus interni
5Nexus externi
Carmen in honorem Titi Marii Alexae |
In eius honorem poeta Alaenus Divutius carmen[1] hoc composuit:
Ad Titum MARIUM ALEXAM diem natalem agentem d.16 m. Sept. 2001°. 6 Sept. 2001.
Primum te novi prope litus amoenum, o Alexa,
Vestendae, miro micuit cum Belgica sole.
Primus tu fueras inter quos ore rotundo
audivi Latia dici diverbia lingua.
Semper in aure sonat violinae cantus acutus,
qua nos tunc iuvenes, iuvenis gaudere iubebas,
semper adhuc fluctus repetunt tua carmina, Alexa!
Quam rapido cursu fugere haec tempora pulchra
quorum testis ades, tu praecipuusque creator.
Tunc tibi sub risu florebat barba nigrescens,
nunc tibi sub risu canescit barba perenni.
Eius scripta |
2009: Das Urwort, Verinae (Werne), ed Werne: Urwort-Verl., 2009.
Notae |
↑http://www.suberic.net/~marc/vandievoetpoematanumerata_A.html Poesis Latina ab Alaeno Divutio scripta. Latin Poetry by Alain Van Dievoet et versio nova in Alaudis.
Nexus interni
LVPA
Nexus externi |
Opera ab hoc homine vel de eo scripta apud Bibliothecam Nationalem Germanicam .mw-parser-output .existinglinksgray a,.mw-parser-output .existinglinksgray a:visited{color:gray}.mw-parser-output .existinglinksgray a.new{color:#ba0000}.mw-parser-output .existinglinksgray a.new:visited{color:#a55858} (Theodisce)
Tabula multilinguis Rosettana in Museo Britannico ostenditur. Tabula Rosettana, [1] etiam titulo OGIS 90 agnita, est stela decreto de rebus sacris in Aegypto anno 196 a.C.n. lato inscripta. Tabula iuxta Rosettam Aegypti, urbem in delta Nili et ad oram maris Mediterranei iacentem, anno 1799 a milite Francico reperta est. Inventio stelae, linguis duabus scripturisque tribus inscriptae, eruditis Instituti Aegypti statim nuntiata est; ibi enim iussu imperatoris Napoleonis eruditi omnium scientiarum (sub aegide Commissionis Scientiarum et Artium) properaverant cum expeditione Francica. Qua a Britannis mox debellata, tabula Rosettana Londinium missa hodie apud Museum Britannicum iacet. Textus Graecus cito lectus interpretationi textuum Aegyptiorum (in formis hieroglyphica et demotica expressorum) gradatim adiuvit. Denique textum plene interpretatus est Ioannes Franciscus Champollion. Ab opere eruditorum cumulativo coepit hodiernus scripturae hieroglyphicae linguaeque Aegyptiae a...
1
$begingroup$
This is what I mean as document text image: I want to label the texts in image as separate blocks and my model should detect these labels as classes. NOTE: This is how the end result should be like: The labels like Block 1, Block 2, Block 3,.. should be Logo, Title, Date,.. Others, etc. Work done: First approach : I tried to implement this method via Object Detection, it didn't work. It didn't even detect any text. Second approach : Then I tried it using PixelLink. As this model is build for scene text detection, it detected each and every text in the image. But this method can detect multiple lines of text if the threshold values are increased. But I have no idea how do I add labels to the text blocks. PIXEL_CLS_WEIGHT_all_ones = 'PIXEL_CLS_WEIGHT_all_ones' PIXEL_C...
1
$begingroup$
I have this LSTM model model = Sequential() model.add(Masking(mask_value=0, input_shape=(timesteps, features))) model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2, return_sequences=False)) model.add(Dense(features, activation='softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) and shapes X_train (21, 11, 5), y_train (21, 5) . Each timestep is represented by 5 features and return_sequences is set to False because I want to predict one 5D array (the next timestep) for each input sequence of 11 timesteps. I get the error ValueError: y_true and y_pred have different number of output (5!=1) If I reshape the data as X_train (21, 11, 5), y_train (21, 1, 5) instead I get the error ValueError: Inva...